AGBT 2012 Day 4 Tweets

(Day 1, Day 2, Day 3, Day 4)

Well, yesterday’s megaton announcement from Oxford Nanopore certainly made up for what had been a slightly subdued AGBT 2012, at least in the way of new technology. I’d definitely recommend checking out this list of excellent blog posts covering the scientific sessions, which I will continue to update for the next few days. And so here are the day 4 tweets, streaming live into the blog. Refresh to see updates.

Scientific agenda

Plenary Session: Genomic Studies II (Deanna Church, NCBI, Chair)

9:00-9:35 am Keynote Speaker: Michel Georges, University of Liege
9:35-10:05 am Jesse Gray, Harvard Medical School, “An RNA-Seq Snapshot Reveals Genome-Wide, in vivo mRNA Dynamics From Unperturbed Cells at Steady-State”
10:05-10:35 am Patrick Schnable, Iowa State University, “Gene Loss During a Domestication Bottleneck: Identification, Characterization and Genetic Mapping of Teosinte Genes That are Absent From the Maize Genome”
11:10-11:40 am Emily Hodges, Howard Hughes Medical Institute & Cold Spring Harbor Laboratory, “Directional Changes and Poised DNA Methylation Characterize Epigenetic Patterns That Underlie Lineage Identity of Human Blood Cell Methylomes”
11:40 am-12:10 pm James Galagan, Boston University, “Discovering the Regulatory Network of TB: Dissecting the Regulation of the Hypoxic Response”

Plenary Session: Genomic Studies III (Elaine Mardis, Washington University School of Medicine, Chair)

2:30-3:00 pm Vivian Cheung, University of Pennsylvania, “RNA and DNA Sequence Differences in the Human Genome”
3:00-3:30 pm Lior Pachter, University of California, Berkeley, “Streaming Algorithms for Analyzing and Maintaining RNA-Seq Data”
3:30-4:00 pm Gerald Tuskan, Oak Ridge National Laboratory “Integrating Population-Scale Resequencing and Shotgun Proteomics Within the Populus Common Garden Experiment”
4:00-4:30 pm Steve Benner, Foundation for Applied Molecular Evolution, “Reagent Innovations for Sensitive, Clean, and Highly Multiplexed Analysis of DNA”

Most popular tweets
(10) pathogenomenick: I think wordles are often a bit lame, but this one from #AGBT tells a good story http://t.co/6gGV6Bbs
(10) mbeisen: b/c nobody knows about overhyped and not ready for prime time sequencing tech like jonathan rothberg http://t.co/boqzG4uv #AGBT @nanopore
(9) bioitworld: A bit harsh! Ion Torrent’s Jonathan Rothberg compares @nanopore technology to cold fusion! #AGBT #nanopore Forbes http://t.co/HCcEgmIk
(8) omespeak: As expected, the New York Times picks up on the Oxford Nanopore story: http://t.co/FFOo7EdS #AGBT
(8) girlscientist: In case you have been under a rock, Cheung’s lab found much larger than expected numbers of sequence diff’s bn RNA/DNA of same person. #AGBT
(7) bffo: Jesse Gray: next: “after yesterday’s talk, you may be disappointed, but all I have on my USB stick is my talk” #agbt
(5) SEQanswers: Spy pic of next gen @PacBio just arrived in my inbox…. #AGBT http://t.co/950CcUBg
(3) neilhall_uk: Rothberg does not believe it. http://t.co/bAPfYKXJ Who would have thunk? #agbt #nanopore
(3) bffo: JG introns have negative slope 1st principles: transcription, splicing & degraded steady state #agbt cool to go back to 1st principles!
(3) CRIgenomics: Knock knock, can we come in? There are 1000 attendees at #AGBT that want a new sequencer. http://t.co/Un5TZO3n
(3) obahcall: Schnable: yes… 1ks of expressed genes in teosinte are missing from B73 ref #AGBT
(3) WeigelWorld: Oxford Nanopore @pathogenomenick: I think wordles are often a bit lame, but this one from #AGBT tells a good story http://t.co/v4krjrI8
(3) finchtalk: #AGBT VC, question about sequencing and cell purity. Are DNA and RNA sampling different sub-populations?
(3) nanopore: Thank you all the amazing speakers at #AGBT and safe travels home! ps did you spot the clue in our Xmas card? http://t.co/csnL08oc
(3) Personal_RX_WI: #AGBT February 20-23 2013. New registration process will be in place.
(2) nanopore: RT @genomesunzipped: Making sequencing simpler with nanopores: Our take on the new Oxford @Nanopore machines #AGBT http://t.co/pqWhsQYp
(2) djschlesinger: Gray: some transcripts are longer than diameter of the nucleus, how then do splice sites find each other? #AGBT
(2) bffo: Birney also urges JG to look at encode data http://t.co/PNEDOtZI #AGBT
(2) bffo: RT @pathogenomenick: I think wordles are often a bit lame, but this one from #AGBT tells a good story http://t.co/RPfETLOG
(2) girlscientist: Hodges: no surprise, hypomethylated regions mostly at promoters. But strong subclass outside genes. Every tissue has unique set HMRs. #AGBT
(2) girlscientist: Vivian Cheung of Penn kicking off last session. RNA:DNA differences. #AGBT
(2) joe_pickrell: For background on Cheung RNA-DNA differences talk, see http://t.co/g65UAGHA http://t.co/oRzySH0q #AGBT
(2) Massgenomics: Vivian Cheung at #AGBT: found 10,210 RNA-DNA differences in 4,741 genes, of which 8,163 sites seen in >50% of samples examined.
(2) girlscientist: Original paper Cheung is describing with RNA:DNA differences: http://t.co/vWyBwCbY ($) #AGBT
(1) kevinltweets: diluting rabbit’s blood in water = your sample prep I.M.P.R.E.S.S.E.D. Oxford @Nanopore machines #AGBT http://t.co/RoarVw4d
(1) pathogenomenick: Well here you go, #AGBT day 4 tweets http://t.co/gedbgq8q – I guess we’re not expecting announcements today.
(1) accelmed: Unveiled: 1 of coolest inventions @ Wyss/HMS: DNA Nanobot 4 Immune Programming http://t.co/LeEYghZ1 #tedmed #futuremed @hackmedmit #agbt
(1) pathogenomenick: sounds rattled! RT @neilhall_uk: Rothberg does not believe it. http://t.co/P29C99Aq Who would have thunk? #agbt #nanopore
(1) omespeak: I can see the joke about ‘it is only a USB stick not a sequence’ getting old pretty quick here. Jesse Gray does the first one. #AGBT
(1) djschlesinger: Gray: RNA-Seq densities across introns have negative slopes, why? #AGBT

11 – 12pm EST
+20m favenmarg: Next gen sequencing scientists are better-than-average scientist dancers. Seriously. #AGBT
+37m alansariim6: AGBT
+42m darissambaya: Nanopore is about to release a $900 #sequencing platform http://t.co/w20rylRb
+8m takkah: Oxford Nanopore to Begin Selling Two Low-Cost DNA Strand Sequencing Instruments this Year http://t.co/saNVe7dj
+4m hiro_h: @takkah togetterAGBT
+18m hiro_h: AGBT tweets 2012 (3) http://t.co/7KHmVFxg
+25m hiro_h: `not` AGBT tweets 2012 http://t.co/SjW8BOb3
+26m hiro_h: tweets aggregations for AGBT are available at http://t.co/5azXoai6 #nonAGBT
+0m fyallpwiq9: GnuBio all runs to date Q50 per base AGBT
+18m carolineqvcu0: AGBT Anthony Griswold: single variant association yielded a few hits, but do not pass cutoff after m
+22m UniverseAwake: Which technology won AGBT? http://t.co/NzsjJGcb
+37m djwhelan: Checking out. I went to bed at this time the other night…. #AGBT http://t.co/0xTja16U
+0m steffenss3: AGBT
+24m sjcockell: No big surprises here “Which technology won AGBT?” http://t.co/ePMMMtAs #greader

10 – 11pm EST
+33m suemiuehara_: Vo sai, agbt vai ouvi musica aqui vish tres retardadas dancando kkk
+43m MTomasson: @eugeneday Thanks for card in advance. On twitter crack–first conference in absentia #AGBT what t was made for.

9 – 10pm EST
+10m mbcf: #agbt star wars party getting hot http://t.co/UYwfgMUf
+11m cla8208: So happy to join the Dark side at #agbt http://t.co/cW2H5Kc5
+27m mbcf: #agbt star wars sand people. Cheating on the duck http://t.co/2qsjVXE7
+42m mbcf: #agbt no comment. http://t.co/Y9f8Q4Is
+48m amythewilliams: @cla8208 hope you’re enjoying #AGBT!

8 – 9pm EST
+1m jgreid: Love the SW party theme at #AGBT
+6m omespeak: Based on main buzz of this meeting, people at the party should be saying ‘may the nanopores be with you’d #AGBT
+17m marialy0: agbt
+26m sprytron: Storm trooper representing U of Washington @ #AGBT
+32m jgreid: Obi-Wan cupcake? Hell yeah. #AGBT http://t.co/9MXSWmFE
+40m Personal_RX_WI: #AGBT Star Wars Dinner. Chewbacca cupcake anyone? Mike’s dessert. http://t.co/81LSUfJM

7 – 8pm EST
+15m Black_Badger: Many thanks to everyone tweeting from #agbt. It was great to follow and experience the (vicarious) excitement.
+28m Symbionticism: Back home from the exciting #AGBT mtg with 1 final thought – in an age of tight govnmt budgets, imo we should downsize from Marco. Thoughts?
+28m omespeak: Ready for the Star Wars party at #AGBT http://t.co/RPsYRVo3
+51m girlscientist: My new friend at #AGBT! http://t.co/Axm64l4i
+52m djschlesinger: Wish I would have known about the Star Wars dinner theme before I got here. I would have brought my slave-Leia costume #AGBT
+55m nygenome: The Force is with #nygenome at #AGBT! http://t.co/69LpLJs8

6 – 7pm EST
+23m Greeicy_PJL: ta tteno churras aq novamente rs ) . . daq a poco agbt vai la na praia nos shows q ta teno por la rs ..
+45m vervecoaching: Blending in with Next Gen Sequencing crowd at #AGBT in Marco Island.
+50m bffo: thank you all for the tweets & RT/MT … It has been a great tweetfest, and a great meeting, I enjoyed the insightful comments #agbt

5 – 6pm EST
+10m SEQanswers: Spy pic of next gen @PacBio just arrived in my inbox…. #AGBT http://t.co/950CcUBg
+19m chloe46037: Final starwars reception #AGBT . Done with tweeter until #ABRF.
+25m jobsyo2: AGBT
+53m RainDanceTech: Congratulations to James Hadfield (Head of Genomics at CRUK) our #AGBT iPad 2 contest winner! http://t.co/DtaH8Mr8

4 – 5pm EST
+0m djschlesinger: Steven Bennet from the Foundation for Applied Molecular Evolution giving last talk of #AGBT – reagent innovations for DNA analysis
+1m omespeak: Ethanol powered, carbon fiber-based car as the door prize for next year’s #AGBT?
+3m ElementoLab: #AGBT Gerald Tuskan: currently performing functional assays to find out lignin function of genes where 42 SNPs were found
+3m genome_gov: Last talk: Steve Benner on “Reagent innovations for sensitive, clean, and highly multiplexed analysis of DNA” #AGBT
+8m CRIgenomics: “China is a third world country”, so says Steve Benner at #AGBT. Expect apologies later on!
+8m omespeak: Not next-generation sequencing but ‘next-generation DNA’:Steve Benner (famous for his reasoned arguments against the Arsenic-bacteria)#AGBT
+11m froggleston: Benner: “China is a third world country”. Oops. #agbt
+15m dauserftk7: medicalcollege team from Personal_RX_WI hanging with top genomics experts at agbt
+19m CRIgenomics: @Agilent just left me in charge of 2 Apple TVs and an iPad 2, their prizes for #AGBT. See you all next year…
+22m illumina: Cheers 2 great #AGBT tweeters @djschlesinger @girlscientist @ElementoLab @omespeak @deannachurch @finchtalk @Massgenomics & many more!
+25m djschlesinger: Benner’s use of bright blue and red in his slides reminds me of 3D movies from the 1980s #AGBT
+28m ribozyme: More like an iPad 5 with a nanopore in the home button! USB gone by then I hope RT @ribozyme: @lexnederbragt: GATTACA #AGBT
+30m froggleston: @djschlesinger I find it more like a Geocities website circa 1997. #agbt
+34m omespeak: Yes, registration frustrations! #AGBT
+34m lykkebak: Dates for #AGBT 2013 – February 20-23
+35m Personal_RX_WI: #AGBT February 20-23 2013. New registration process will be in place.
+36m omespeak: RT @Personal_RX_WI: #AGBT February 20-23 2013. New registration process will be in place.
+37m Personal_RX_WI: #AGBT Coming to a close. Farewell dinner tonight. Jaime & Mike heading back to MCW tomorrow AM. Thanks for following our adventure!
+39m omespeak: Great #AGBT meeting. Thanks to the organizers and sponsors. Now to write up some of my thoughts. But Star Wars part first!
+55m Gavin_Oliver: Can anyone recommend a Marco Island company who does half day Everglades tours? Want to squeeze one in before 4pm flight tomorrow #AGBT

3 – 4pm EST
+0m ElementoLab: #AGBT Vivian Cheung: audience member: single molecule seq showed that in population of cells, some genomes might be different
+0m girlscientist: …your results be explained by mismatch repair in some cells and not in others yet? A: we would be v happy to look at single cells! #AGBT
+1m finchtalk: #AGBT VC, question about sequencing and cell purity. Are DNA and RNA sampling different sub-populations?
+3m genome_gov: Lior Pachter now on “Streaming algorithms for analyzing and maintaining RNA-seq data” #AGBT
+5m ElementoLab: #AGBT Lior Pachter: streaming algorithms for analyzing and maintaining RNA-seq data
+6m genomeresearch: Means piecemeal RT @genome_gov: Lior Pachter now on “Streaming algorithms for analyzing and maintaining RNA-seq data” #AGBT
+6m genome_gov: Pachter: will argue that batch algorithms are scalable #AGBT
+6m ElementoLab: #AGBT Lior Pachter: Nanopore talk yesterday highlighted a streaming approach to sequencing
+7m finchtalk: #AGBT Lior Pachter on streaming algorithms. Genomics is batch orientated, that’s a problem. Need to stream the data. Right on!
+8m genome_gov: Correction – Pachter aregues that batch algorithms are NOT scalable #AGBT
+10m Wagnerizer: Are DNA sequencers really going to be in the same family as my USB coffee cup warmer? #AGBT #Nanopore http://t.co/Squ0aZ2g
+10m ElementoLab: #AGBT Lior Pachter: what Cufflinks do is to assign reads to transcripts using statistical modeling
+11m ElementoLab: #AGBT Lior Pachter: showed an RNA-seq map of the world based on Cufflinks download IP addresses
+12m genome_gov: Pachter: “My worst nightmare: the curse of deep sequencing” aka too much data. #AGBT
+13m ElementoLab: #AGBT Lior Pachter: curse of deep sequencing: the reliability of some algorithms (eg assembly) decreases when you use them on too much data
+15m Verbal_SeduXion: @bongopondit Hahaha why doesn’t that surprise me! Also the Illumina summary of AGBT was a nice read, thanks
+16m genome_gov: Pachter: not a big believer in the cloud #AGBT
+18m genome_gov: Pachter: eXpress >> streaming algorithm >> process one read at a time #AGBT
+21m ElementoLab: #AGBT Lior Pachter: eXpress algorithm processes reads as they come from machine, assigns them probabilistically to transcripts on the fly
+23m westr: @MTomasson “10 Mistakes… ” by @TrishaTorrey – Mistake 9: Thinking Medical Research Is Searching for Cures http://t.co/qLq184Pr #AGBT
+23m illumina: Speaking of cloud-based genomic analysis…check out HiSeq2500 data on BaseSpace #AGBT http://t.co/icjWUTyd
+24m ElementoLab: #AGBT Lior Pachter: online algorithm for assigning reads converges towards optimal solution as more and more reads are processed
+26m omespeak: Lior Pachter is making a relatively tough subject really easy to follow. Love the zooming into various parts of the slide. Great talk #AGBT
+26m finchtalk: @genome_gov: Pachter: not a big believer in the cloud #AGBT but not make a compelling case one way or another
+28m ElementoLab: #AGBT Lior Pachter: eXpress memory needs very low and do not change w read numbers; much much faster than Cufflinks
+30m ElementoLab: #AGBT Lior Pachter: eXpress only needs 1M reads to find biases in an RNA-seq experiment
+30m nanopore: Thank you all the amazing speakers at #AGBT and safe travels home! ps did you spot the clue in our Xmas card? http://t.co/csnL08oc
+31m genome_gov: Pachter: algorithm removes the need to store the alignment files #AGBT
+32m ElementoLab: #AGBT Lior Pachter: eXpress removes need to store alignment files; can also stop analysis when desired experimental accuracy is reached
+34m omespeak: Hmmm. Cheeky #AGBT MT @nanopore: ps did you spot the clue in our Xmas card? http://t.co/mknVpjKC
+35m genome_gov: Gerald Tuskan now on “Integrating population-scale resequencing and shotgun proteomics w/i the Populus Common Garden Experiment” #AGBT
+35m Copenhagenomics: Kevin McKernan from Courtagen Life Sciences will talk about the cannabis genome at #CPHx 2012 Video from #AGBT: http://t.co/PcsX3PFv
+37m ElementoLab: #AGBT Gerald Tuskan: cellulose and lignocellulose most abundant polymers on planet
+47m bffo: GT: a SNP every 30 bp in Populus … you thought you had variation challenge! #agbt
+48m genome_gov: Tuskan: GWAS to identify genes associated with lignin formation #AGBT
+49m ElementoLab: #AGBT Gerald Tuskan: performed GWAS in Populus; found 42 SNPs associated with lignin content, 3-13% phenotypic variance explained in total
+54m notSoJunkDNA: same here. Thanks for the reports #agbt @nparmalee: @girlscientist This story boggles my mind.
+54m Perpilocution: Excitement hangover from yesterday’s chaos following #nanopore’s announcements at #AGBT
+56m lykkebak: Some people are sleeping during the last session (front row). Guess they partied to much last night…. #AGBT

2 – 3pm EST
+7m BioMickWatson: Are people still at #AGBT? Didn’t everyone just leave after the @nanopore announcement?
+10m omespeak: Still here for StarWars party? RT @BioMickWatson: Are people still at #AGBT? Didn’t everyone just leave after the @nanopore announcement?
+15m Symbionticism: Lol “@Copenhagenomics: Here’s a spy photo from a projected sequencing center, planned to open in early 2013: http://t.co/3Ctam3Lo #AGBT”
+16m CLCbio: Kevin McKernan, Medicinal Genomics: “Most assemblers gave up assembling the cannabis genome, but @CLCbio did the job” #AGBT
+25m Copenhagenomics: Good description of @nanopore’s MinION potential with this tag: #DriveBySequencing (coined by @brynskov) #AGBT
+26m chloe46037: Great turn out for K.McKernan talk #AGBT but no tweets?
+28m Personal_RX_WI: Thanks to Geospiza @PerkinElmer for meeting with us today about your LIMS system. Very informative. #AGBT
+30m djschlesinger: Vivian Cheung, UPenn discussing RNA and DNA sequence differences in the human genome #AGBT
+31m nygenome: Great #nygenome #AGBT presentation this morning. Thanks to all who joined us! We’d love your feedback here or agbt@nygenome.org.
+32m girlscientist: Vivian Cheung of Penn kicking off last session. RNA:DNA differences. #AGBT
+32m deannachurch: Viburnum Chueng talking about RNA and DNA differences in the human genome. #AGBT
+34m girlscientist: In case you have been under a rock, Cheung’s lab found much larger than expected numbers of sequence diff’s bn RNA/DNA of same person. #AGBT
+34m deannachurch: Damn autocorrect Vivien! No more tweeting on my phone. #AGBT
+36m ElementoLab: #AGBT Vivian Cheung: looking for differences (not only editing) between DNA and RNA in B cells
+36m bongopondit: Vivien Cheung: Does not want to use the term RNA-editing, but call it RNA-DNA differences (RDD) since mechanism is unknown. #AGBT
+37m omespeak: Vivien Cheung: Does not want to use the term RNA-editing, but call it RNA-DNA differences (RDD) since mechanism is unknown. #AGBT
+37m djschlesinger: Cheung defining very strict requirements for determining differences between RNA and DNA #AGBT
+38m djschlesinger: Cheung: sequence must be unique, covered by at least 10 reads, must have two RNA reads with mismatch and must be found in two people #AGBT
+38m omespeak: Vivian Cheung: A to G RDD most common C to G and G to least common. #AGBT
+39m ElementoLab: #AGBT Vivian Cheung: after filtering, BLAT-based remapping, cov>=10X: 10,210 exonic sites differed between DNA and RNA
+39m djschlesinger: Cheung: base pair differences found between RNA and DNA are common between individuals #AGBT
+39m omespeak: Vivian Cheung: aware that this is unexpected, not ready to assign it to some systematic error. Must be some biological mechanism. #AGBT
+40m joe_pickrell: For background on Cheung RNA-DNA differences talk, see http://t.co/g65UAGHA http://t.co/oRzySH0q #AGBT
+41m Massgenomics: Vivian Cheung at #AGBT: found 10,210 RNA-DNA differences in 4,741 genes, of which 8,163 sites seen in >50% of samples examined.
+42m omespeak: RT @joe_pickrell: For background on Cheung RNA-DNA differences talk, see http://t.co/2JZtRsHN http://t.co/kLOgV71I #AGBT
+43m girlscientist: Original paper Cheung is describing with RNA:DNA differences: http://t.co/vWyBwCbY ($) #AGBT
+43m djschlesinger: Have they tried enriching for the variant allele in the DNA? Maybe as-PCR or COLD-PCR? #AGBT
+43m bigfeet5grl: Jelly RT @girlscientist Vivian Cheung of Penn kicking off last session. RNA:DNA differences. #AGBT
+43m ElementoLab: #AGBT Vivian Cheung: showing example of genes with differences eg CORO1C; coverages showed were high in DNA-seq, lower in RNA-seq (<20X)
+44m finchtalk: #AGBT Vivian Cheung on RNA editing. Found ~10k sites/~5k genes. Data show varied allele frequency, usually the RDD is lower, some complete
+44m omespeak: Vivian Cheung: RDDs observed in tissues other than B-cells as well. Prsent in skin cells too. #AGBT
+46m ElementoLab: #AGBT Vivian Cheung: showing examples of genes with DNA-RNA differences eg CORO1C; coverage shown higher in DNA-seq cmp to RNA-seq (<20X)
+46m djschlesinger: Cheung: very thorough in ruling out alternative non-biological explanations for RNA DNA differences #AGBT
+47m girlscientist: Cheung: since their paper, at least 5 others have come out with similar findings (did not comment on relative numbers of sites yet). #AGBT
+48m genome_gov: Cheung: RDDs tend to occur in patches #AGBT
+48m omespeak: Vivian Cheung: RDDs seem happens in patches. #AGBT
+48m ElementoLab: #AGBT Vivian Cheung: 41% RNA-DNA differences in coding exons, 71% of which lead to changes in aa (most freq are L>P, V>A, S>P)
+48m omespeak: Vivian Cheung: RDDs seem to happen in patches. #AGBT
+48m djschlesinger: Cheung: 71% of RNA DNA changes are nonsynonymous #AGBT
+49m girlscientist: Cheung: can they find peptides corresponding to RNA form? LC-MS/MS in B cells. Answer = yes, see both RNA and DNA forms in peptides. #AGBT
+49m omespeak: Vivien Cheung: Founds example of protein encoded by the RDD RNAs using LC-MS. #AGBT
+50m omespeak: Vivien Cheung: Found examples of protein encoded by the RDD RNAs using LC-MS. #AGBT
+50m ElementoLab: #AGBT Vivian Cheung: DNA-RNA differences present in translated proteins according to mass spec
+51m djschlesinger: @girlscientist , where does the DNA form come from? #AGBT
+52m omespeak: Vivien Cheung: RDD levels ~20% on an average. Bimodal distribution of RDD levels. #AGBT
+53m genome_gov: Cheung: levels of RDD vary across inidivduals #AGBT
+53m bongopondit: Vivien Cheung: RDD levels vary across individuals. #AGBT
+53m rnomics: RT @razZ0r: RT @ElementoLab: #AGBT Vivian Cheung: after filtering, BLAT-based remapping,… http://t.co/xae5m0K8 #GeneticSequence-bio @MyEN
+53m rnomics: RT @finchtalk: #AGBT Vivian Cheung on #RNA editing. Found ~10k sites/~5k genes. Data show… http://t.co/EtJqQyec #GeneticSequence-bio @MyEN
+53m rnomics: RT @finchtalk: #AGBT Vivian Cheung on #RNA editing. Found ~10k sites/~5k genes. Data show… http://t.co/EtJqQyec #rnomics-bioscience @MyEN
+53m rnomics: RT @genome_gov: RT @djschlesinger: Cheung: 71% of #RNA DNA changes are nonsynonymous #AGBT http://t.co/0YlIU6ef #rnomics-bioscience @MyEN
+53m ElementoLab: #AGBT Vivian Cheung: what mediates DNA-RNA differences not known
+54m girlscientist: Cheung: “the elephant in the room right now is” underlying mechanism. “Unfortunately don’t have answer yet” but working on it, obv! #AGBT
+54m omespeak: Vivien Cheung: Elephant in the room ‘what is the underlying mechanism’? No answer yet. #AGBT
+55m girlscientist: Cheung: ADAR siRNA KO does not explain all of RDD seen so far. Cells lose A to G, as expected, but not other changes. #AGBT
+55m finchtalk: #AGBT VC RDD (RNA DNA diff). Transcript abundance bimodal – 20% high, 100% low and variable wrt individuals. A phenotype?
+55m ElementoLab: #AGBT Vivian Cheung: knocking down ADAR decreases A to G editing, other DNA-RNA differences unaffected
+56m omespeak: Vivien Cheung: Twin concordance studies….RDD levels more similar among twins compared to different individuals. #AGBT
+56m genome_gov: Cheung: looked in twins; RDD distribution more similar in twins than to unrelated inidivduals #AGBT
+56m ElementoLab: #AGBT Vivian Cheung: DNA-RNA difference levels closer in twins than in unrelated individuals
+57m omespeak: Vivien Cheung: so RDD possibly genetically regulated. #AGBT
+58m genome_gov: Cheung: when doing genetic studies…should we expand to looking at variation in RNA? #AGBT
+59m finchtalk: #AGBT VC high concordance with levels in twins, indicating the RDD level in a transcript is inherited.
+59m girlscientist: First Q for Cheung: understatement of “your result is…intriguing.” But we now see indiv cells have diff genomes even. Could… #AGBT

1 – 2pm EST
+13m ribozyme: More like GridIon, cause the sample goes to back room and takes 15 mins RT @lexnederbragt: I guess they used MinIONs for GATTACA #AGBT
+15m ribozyme: In a movie remake now she puts the hair root inside her USB stick at her computer RT @lexnederbragt: They used MinIONs for GATTACA #AGBT
+16m SEQanswers: My morning: #AGBT tweets, coffee and firing up an XL EC2 instance to align and call variants from yesterday’s runs. (kids are very quiet!)
+18m pathogenomenick: #AGBT day 4 tweets http://t.co/gedbgq8q
+31m omespeak: Looking forward to Vivian Cheung’s talk on RNA/DNA sequence differences coming up in the afternoon session at #AGBT.
+32m omespeak: The study was controversial originally (http://t.co/xwgPZGqI) but seems like more data will be present to validate the differences/ #AGBT
+40m bhalomanush: @bongopondit slightly envious. Would have loved to have attended AGBT. Too busy and unfortunately still under-crewed at present.

12 – 1pm EST
+0m obahcall: Galagan: Showing latest TB regulatory network, with 51 TFs chipped, 2704 genes with binding, 5521 interactions. #AGBT
+0m ElementoLab: #AGBT James Galagan: some transcription factors in TB only bind to their own promoters !
+8m girlscientist: Galagan: in hypoxia, TB is in macrophage and relies on host immunomodulatory lipids and induction of foamy macrophages. #AGBT
+9m obahcall: Galagan: using their predictive model, show can accurately predict ~30% of differentially expressed genes #AGBT
+9m salisburymw: Galagan: big juicy lipid droplets. Eww. #agbt
+9m girlscientist: Galagan: in other words, TB another example of infection manipulating your immune system for its own ends. #AGBT #weareallatitsmercy
+9m ElementoLab: #AGBT James Galagan: all TB ChIP-seq data available at http://t.co/HUz7O7r4
+9m mbeisen: b/c nobody knows about overhyped and not ready for prime time sequencing tech like jonathan rothberg http://t.co/boqzG4uv #AGBT @nanopore
+10m obahcall: Galagan: Their TB ChiP-Seq data all available at http://t.co/69dYPJNy #AGBT
+18m bkmacy: Shawn Levy presenting how @ING_SYS variant analysis ID’d novel variant at @roche lunch #AGBT
+21m CrapBio: @mbeisen: nobody knows about overhyped and not ready for prime time sequencing tech like rothberg http://t.co/BqD5rtLq #AGBT apart from us
+21m drgitlin: Sad that I’m at neither #AGBT nor #AAASmtg.
+25m bkmacy: @ING_SYS variant analysis able to collaborate variant hypothesis in less than an hour #AGBT
+25m bioontology: RT @bffo: Birney also urges JG to look at encode data http://t.co/riAfjB6l #AGBT
+31m lexnederbragt: I guess they used MinIONs for GATTACA… #ONT #AGBT
+33m bkmacy: Levy: @ING_SYS variant analysis helps find needle in a haystack #AGBT
+33m GenomicsIo: Jonathan Roth has some serious doubts about @nanopore technology maturity http://t.co/s3fX4IgA via @forbes – perhaps not unfounded? #agbt
+35m bkmacy: Levy: @ING_SYS variant analysis helps find rare disease novel variants #AGBT
+37m bkmacy: Levy: @ING_SYS variant analysis finds new potential functional variant candidates #AGBT
+56m MTomasson: In the cold light of day, vaguely sad that tech vaporware stole the show from real biology at #AGBT
+57m westr: Hype = Happy! RT @MTomasson: In the cold light of day, vaguely sad that tech vaporware stole the show from real biology at #AGBT
+59m MTomasson: Caring for the ill with compassion not as sexy as selling snake oil with a good back story #AGBT

11 – 12pm EST
+10m gtyrelle: While ppl r fussing about technology @ #AGBT here at #EMBL Lee Hood, @timjph, Robert Gentleman et al. discuss implementation of P4 medicine.
+10m djschlesinger: Emily Hodges from HHMI & CSHL up next with a title too long to Tweet, subject: epigenetics #AGBT
+11m leonidkruglyak: A bit? RT @bioitworld: A bit harsh! Ion Torrent’s Jonathan Rothberg compares @nanopore to cold fusion! #AGBT #nanopore http://t.co/1GwzYvCI
+13m WeigelWorld: Oxford Nanopore @pathogenomenick: I think wordles are often a bit lame, but this one from #AGBT tells a good story http://t.co/v4krjrI8
+13m djschlesinger: Hodges: jokes about being tall enough to see over the podium and about the length of her talk title #AGBT :p
+14m girlscientist: Emily Hodges will tell us stories from libraries of shotgun bisulfite sequencing. #AGBT [earlier comment correct: room = ghost town.]
+14m djschlesinger: Hodges: using shotgun busulfite sequencing to study methylomes in various cell types #AGBT
+16m Massgenomics: Now at #AGBT: Emily Hodges on genome-wide methylation studies of human blood cells. Shotgun bisulfite sequencing for hypomethylation.
+16m djschlesinger: Hodges: focusing on hypomethylation to identify areas of interest #AGBT
+18m girlscientist: Hodges: comparing methylomes from HSPCs, lymphoid and myeloid lineages. Looking for hypomethylated regions. #AGBT
+22m Massgenomics: Hodges: Very cool figure on hypomethylated regions vs CpG island declaration: arbitrary cutoffs make island definition quite arbitrary #AGBT
+23m bioinfosm: #agbt Hodges: 28k cpg islands and 50k hmr (unconventional tissue spec cpg islands)
+23m girlscientist: Hodges: no surprise, hypomethylated regions mostly at promoters. But strong subclass outside genes. Every tissue has unique set HMRs. #AGBT
+23m ElementoLab: #AGBT Emily Hodges: did full bisulfite-seq on hematopoietic stem/progenitor cells, lymphoid and myeloid lineage cells
+23m ElementoLab: #AGBT Emily Hodges: found 50-60K hypomethylated regions in each cell type, not restricted to CpG islands
+26m ElementoLab: #AGBT Emily Hodges: increasing lineage commitment is not unidirectional in terms of DNA methylation
+27m ElementoLab: #AGBT Emily Hodges: some hypomethylated regions are gained in more committed cell types, eg at CD19 in B cells
+28m ElementoLab: #AGBT Emily Hodges: boundaries of hypomethylated regions expand and contract in a cell type specific manner
+28m girlscientist: Hodges: at any region, differential methylation is “tidal” meaning boundaries expand and contract in cell-type-specific manner. #AGBT
+29m Massgenomics: Hodges at #AGBT: Differential methylation in HSC lineages is “tidal” near TSS – expanding/contracting in cell-type-specific manner.
+32m ElementoLab: #AGBT Emily Hodges: H3K4me1 and H3K4me3 are enriched at expanded hypomethylated regions (in ENCODE cell lines)
+34m girlscientist: Hodges: intergenic HMRs enriched for tissue specific transcription factor binding sites. [Similar to work from ENCODE.] #AGBT
+35m Massgenomics: Hodges: Intergenic hypomethylated regions (iHMRs) shared across subtypes are evol. conserved and enriched for TF binding sites. #AGBT
+36m ElementoLab: #AGBT Emily Hodges: shared intergenic hypomethylated regions tend to be bound by CTCF
+40m ElementoLab: #AGBT Emily Hodges: cell type-specific intergenic hypomethylated regions are enriched with H3K4me1; transcription occurs on both sides
+41m salisburymw: Ooh, TB regulatory network up next. Should be good. #agbt
+42m obahcall: And now James Galagan on regulatory network of tuberculosis #AGBT
+42m obahcall: Galagan: recently reported entirely drug resistant TB strains are quite scary #AGBT
+43m girlscientist: The wonderfully nice James Galagan now: TB, when faced with hypoxic environment, eats your cholesterol! Eww. #AGBT
+44m Massgenomics: James Galagan at #AGBT: The tuberculosis pathogen can persist inside of macrophages, in face of hypoxia and drugs, eating your cholesterol.
+46m djschlesinger: James Galagan from Boston Univ. speaking very very fast about the regulatory network of TB #AGBT
+46m djschlesinger: @girlscientist, better than Lipitor?? #AGBT
+46m pathogenomenick: better than eating benecol though? MT @girlscientist: … TB, when faced with hypoxic environment, eats your cholesterol! Eww. #AGBT
+48m djschlesinger: Is it just me, or is Galagan’s talk in fast forward mode? #AGBT
+49m obahcall: Galagan: start by comprehensive profiling generating tons of data including chip seq, proteomics, glycomics, and more.. #AGBT
+49m obahcall: Galagan: resolving binding site to single nt accuracy and resolution #AGBT
+50m robincoope: Eating cholesterol? That’s why they used to call it Galloping Consumption. #agbt
+51m ElementoLab: #AGBT James Galagan: performing ChIP-seq on ALL transcription factors in TB
+51m obahcall: Galagan: see binding is exquisitely reproducible. #AGBT
+52m obahcall: Galagan: novel peaks enriched for known fxn. binding associated with motif strength #AGBT
+52m joalunatkthse: AGBT
+52m ElementoLab: #AGBT James Galagan: less than 30% of high affinity DNA motifs are actually bound in TB
+53m joalunatkthse: agbt 2012
+55m ElementoLab: #AGBT James Galagan: expression analysis shows that 25% of all TB ChIP-seq peaks are associated with gene regulation
+56m obahcall: Galagan: assign potential regulation to 25% of all peaks #AGBT
+59m girlscientist: Galagan: TB regulatory network quite a respectable hairball thanks to ChIP-seq data. #AGBT

10 – 11am EST
+0m ElementoLab: #AGBT Jesse Gray: transcription initiation rates can be estimated from 3′ read densities of introns, distribution bimodal too
+0m djschlesinger: Gray: mRNA stability is not bimodal #AGBT
+1m djschlesinger: Gray: what explains bimodal gene expression ? Structure of the genome? #AGBT
+2m bffo: JG RNA degradation rate is as important as transcription rate #agbt
+2m djschlesinger: Gray: genes where no reads are detected are far from high expressions #AGBT – neat
+4m chloe46037: Don’t forget to come and see Kevin McKernan in palms ballroom #AGBT .
+7m bffo: JG Birney asks about the 1st intron, and JG tells us he actually excluded 1st introns in his analysis #agbt 1st intron is different
+8m genomeresearch: RT @Massgenomics: Jesse Gray on RNA-Seq kinetics in vivo: splicing occurs during transcription. Intron size no effect on rate #AGBT
+9m djschlesinger: Patrick Schnable from Iowa State University up next to talk about gene loss during domestication bottleneck in maize #AGBT
+9m bffo: Birney also urges JG to look at encode data http://t.co/PNEDOtZI #AGBT
+10m obahcall: Patrick Schnable talks next on gene loss during domestication of maize #AGBT
+10m djschlesinger: Schnable: regarding tweeting policy, his talk is so secretive he doesn’t even want us to listen to him #AGBT :p
+11m Copenhagenomics: Patrick Schnable is doing a talk that is so secret that we can’t even hear it! Tweet away #sharingiscaring #AGBT
+15m djschlesinger: Schnable: allelic diversity is lost during domestication, are genes lost too? #AGBT
+16m ElementoLab: #AGBT Patrick Schnable: 250+ genes present in wild maize lines, have been lost in domesticated maize genome
+16m djschlesinger: Schnable: short answer: yes, genes are missing. #AGBT
+17m obahcall: Schnable: asking if if whole genes were lost during maize domestication #AGBT
+17m Massgenomics: Patrick Schnable: Corn was domesticated from Teosinte by native Americans 10k hrs ago. What genes were lost? #AGBT
+19m obahcall: Schnable: yes… 1ks of expressed genes in teosinte are missing from B73 ref #AGBT
+20m ElementoLab: #AGBT: Patrick Schable: 1,000s genes expressed in teosinte alone, not in domesticated B73 line
+20m obahcall: Schnable: validate by seq capture 74% of potential 2800 PAVs not present in B73 #AGBT
+22m rnomics: RT @bffo: JG #RNA degradation rate is as important as transcription rate #agbt http://t.co/wv7NPbSd #phylogenomics-gen @MyEN
+24m ElementoLab: #AGBT: Patrick Schable: teosinte genome not sequenced, used genetic mapping to find teosinte-specific genes, arranged in clusters
+25m antolikykab2: AGBT Rong Chen: calc a likelihood ratio of disease for personal genome from multiple allele risks
+26m ElementoLab: #AGBT: Patrick Schnable: teosinte genome not sequenced, used genetic mapping to find teosinte-specific genes, arranged in clusters
+26m illumina: New blog post from Abizar Lakdawalla recapping Friday at #AGBT http://t.co/py652hSN
+27m pathogenomenick: I think wordles are often a bit lame, but this one from #AGBT tells a good story http://t.co/6gGV6Bbs
+29m Massgenomics: Schnable at #AGBT: selection for or against alleles likely drove gene loss during domestication. e.g. selection against seed shattering
+29m omespeak: Great summary of yesterday’s talks: RT @illumina: New blog post from Abizar Lakdawalla recapping Friday at #AGBT http://t.co/Sqlk2Nuc
+30m bffo: RT @illumina: New blog post from Abizar Lakdawalla recapping Friday at #AGBT http://t.co/XWPrwJOj
+30m illumina: Missed “Eliminating the Sequencing Informatics Bottleneck” workshop this morning? Another one in 5 min, Illumina Lounge (Capri Ballrm) #AGBT
+31m bffo: RT @pathogenomenick: I think wordles are often a bit lame, but this one from #AGBT tells a good story http://t.co/RPfETLOG
+32m ElementoLab: #AGBT: Patrick Schnable: some imp teosinte genes may have been lost due to proximity to neg selected genes, potential for crop improvement
+34m obahcall: Schnable: some these genes lost during domestication may have potential for crop improvement #AGBT
+37m ramblingmuse: Meanwhile over on Marco island, people are hugging thumb drives and having wet dreams #AGBT
+50m bioitworld: A bit harsh! Ion Torrent’s Jonathan Rothberg compares @nanopore technology to cold fusion! #AGBT #nanopore Forbes http://t.co/HCcEgmIk
+52m assemblathon: Such a good twitter buzz yesterday! RT @pathogenomenick: All the tweets (and there are a lot of them) from #AGBT day 3 http://t.co/WHBX6nY4
+55m assemblathon: RT @CRIgenomics: Knock knock, can we come in? There are 1000 attendees at #AGBT that want a new sequencer. http://t.co/OK1m1HtK
+56m assemblathon: Awesome! RT @pathogenomenick: I think wordles are often a bit lame, but this one from #AGBT tells a good story http://t.co/E52aWhuT
+56m kbradnam: RT @pathogenomenick: I think wordles are often a bit lame, but this one from #AGBT tells a good story http://t.co/Zdftxaxf

9 – 10am EST
+0m omespeak: #AGBT Equally unsurprising, a doubting voice: MT @matthewherper: Who Doubts The USB Thumb Drive Sequencer? A Rival http://t.co/qxI7zTN3
+0m djschlesinger: Morning session of last day at #AGBT – it’s like a ghost town. Must have been a rough night.
+2m djschlesinger: Michael George’s from University of Liege giving morning keynote address #AGBT
+6m CrapBio: HELLO! #AGBT anyone awake or are you all sleeping of your nanpore hangover.?
+7m obahcall: Starting the last day of #AGBT right with keynote from Michel Georges
+8m omespeak: +the strong drinks at IonTorrent party last night RT @CrapBio: HELLO! #AGBT anyone awake or are you all sleeping of your nanpore hangover?
+9m CRIgenomics: There is nowhere to put your hand in these cows, unlike last years #AGBT!
+10m Massgenomics: First session at #AGBT today: Genetic basis of “color-sidedness” in Belgian Blue cattle. Bovines! Presenter said, “Please don’t run away.”
+10m neilhall_uk: @CRIgenomics: There is nowhere to put your hand in these cows, unlike last years #AGBT! I am not even going to try and understand…
+15m CRIgenomics: Google image search on “fistulated cow”…it was one of the best talks of last years #AGBT. Maybe the Zebra shaving video was better?
+16m p_hi1: “80% of the genome is expressed in the form of a primary transcript: 90.7% of exon, 79.3% of intron, and 35.5% of intergenic bases.” #agbt
+20m p_hi1: Good review: AGBT 2012 Day 2: Cancer, Technology, and Oxford Nanopore: http://t.co/sDKc1phY
+24m robincoope: Domestic yaks! #agbt
+28m pathogenomenick: sounds rattled! RT @neilhall_uk: Rothberg does not believe it. http://t.co/P29C99Aq Who would have thunk? #agbt #nanopore
+28m pathogenomenick: “sequence A bacteria??” ughh #fail RT @neilhall_uk: Rothberg does not believe it. http://t.co/P29C99Aq Who would have thunk? #agbt #nanopore
+30m ElementoLab: #AGBT Michel Georges: color sidedness in cow due to circular bubble containing Kit gene moving from 1 chr to another, partially coming back!
+34m djschlesinger: Jesse Gray from Harvard Medical School up next to tell us about mRNA dynamics from unperturbed cells at steady state using RNA-Seq #AGBT
+35m djschlesinger: Gray: doesn’t want to disappoint everyone but his USB stick only contains his PowerPoint slide #AGBT
+36m obahcall: Jesse Gray up next: this may be disappointing, but all I have on this usb is my talk #AGBT
+36m omespeak: I can see the joke about ‘it is only a USB stick not a sequence’ getting old pretty quick here. Jesse Gray does the first one. #AGBT
+37m bffo: Jesse Gray: next: “after yesterday’s talk, you may be disappointed, but all I have on my USB stick is my talk” #agbt
+38m bffo: JG Kinetic analysis of RNA important, on patient tissues, yes, I strongly agree! #agbt
+38m ElementoLab: #AGBT Michel Georges: genetic bubble that came back inserted near Kit, did not contain Kit but piece of chr6-chr29
+39m djschlesinger: Gray: existing methods for studying RNA kinetics alter transcription, RNA-Seq is better method #AGBT
+40m djschlesinger: Gray: RNA-Seq densities across introns have negative slopes, why? #AGBT
+41m djschlesinger: Gray: negative slope is not simply due to RNA polymerase falling off #AGBT
+42m djschlesinger: Gray: negative slope is due to the intermediate steps in RNA synthesis, starting from first exon and proceeding to further exons #AGBT
+43m djschlesinger: Gray: negative slope is proportional to transcription initiation rate #AGBT
+43m bffo: JG introns have negative slope 1st principles: transcription, splicing & degraded steady state #agbt cool to go back to 1st principles!
+44m obahcall: Jesse Gray on RNA-seq for in vivo mRNA dynamics from unperturbed cells at steady state #AGBT
+45m djschlesinger: Gray: some transcripts are longer than diameter of the nucleus, how then do splice sites find each other? #AGBT
+46m djschlesinger: Gray: splicing of long introns requires waiting for transcription of intron to finish #AGBT
+47m bffo: JG Large introns are processed as efficiently as short ones #agbt
+47m djschlesinger: Gray: actually, he disproved that. Splicing does not wait for transcription of next intron. #AGBT
+49m ElementoLab: #AGBT Jesse Gray: a lot of mRNA dynamics information can be extracted from RNA-seq read densities across gene bodies and especially introns
+50m djschlesinger: Gray: describing relationship between RNA-Seq read densities and mRNA processing time #AGBT – too much calculus this early in the morning
+50m ElementoLab: #AGBT Jesse Gray: for example splicing of an intron does not have to wait from next intron to be transcribed
+51m ElementoLab: #AGBT: but splicing of long introns waits for transcription of the intron to finish, no pre-splicing
+52m Massgenomics: Jesse Gray on RNA-Seq kinetics in vivo: splicing occurs during transcription. Intron size no effect on rate #AGBT
+52m ElementoLab: #AGBT Jesse Gray: but splicing of long introns waits for transcription of the intron to finish, no splicing of partially transcribed introns
+54m djschlesinger: Gray: Lariat formation = 2 minute, exon ligation = 1 minute, intron degradation = 30 seconds #AGBT
+55m ElementoLab: #AGBT Jesse Gray: overall intron processing times: lariat formation takes 2mins, exon ligation 1min, intron degradation 0.5min
+56m djschlesinger: Gray: gene expression by RNA-Seq is bimodal #AGBT
+57m ElementoLab: #AGBT Jesse Gray: gene expression by RNA-seq is typically bimodal, low mode is 1-2 copies per cell
+58m CRIgenomics: Knock knock, can we come in? There are 1000 attendees at #AGBT that want a new sequencer. http://t.co/Un5TZO3n

8 – 9am EST
+5m illumina: #AGBT Workshop: Eliminating the Sequencing Informatics Bottleneck — starts in 10 min, Illumina Lounge (Capri Ballroom 2/3)
+6m wimufi: I’m way behind, too MT @mrrizkallah It’s been 2 hours and I am half way thru #AGBT tweets. This is a 500X coverage
+18m wimufi: Doesnt $ILM own stake? MT @Matt_Francis #AGBT obi-wan: I felt a disturbance in the force, as if a million $ILM investors cried out in pain
+21m neilhall_uk: Rothberg does not believe it. http://t.co/bAPfYKXJ Who would have thunk? #agbt #nanopore
+25m accelmed: Unveiled: 1 of coolest inventions @ Wyss/HMS: DNA Nanobot 4 Immune Programming http://t.co/LeEYghZ1 #tedmed #futuremed @hackmedmit #agbt
+38m deannachurch: Not sure I can chair session and tweet at the same time, but I’m sure @girlscientist will be all over it! #AGBT
+57m omespeak: As expected, the New York Times picks up on the Oxford Nanopore story: http://t.co/FFOo7EdS #AGBT
+57m bongopondit: As expected, the New York Times picks up on the Oxford Nanopore story: http://t.co/EI0suLLp #AGBT
+59m Personal_RX_WI: Last day of #AGBT. Genomics Studies morning session about to get under way.

7 – 8am EST
+33m chloe46037: Here we go. Day 4 #AGBT .

6 – 7am EST
+4m hinksonzxgzyq0: Personal_RX_WI tweeting latest and greatest from world of agbt have fun Jaime and Mike!
+56m Chris_Evelo: Happily providing tutorials “@girlscientist: Boland final conclusion: he needs to go back to school for bioinformatics. Don’t we all? #AGBT”
+57m Chris_Evelo: Happy 2 provide tutorials RT @girlscientist: Boland final conclusion: he needs to go back to school for bioinformatics. Don’t we all? #AGBT

5 – 6am EST
+2m nanopore: RT @genomesunzipped: Making sequencing simpler with nanopores: Our take on the new Oxford @Nanopore machines #AGBT http://t.co/pqWhsQYp
+28m simonbayly: MT @pathogenomenick: Oxford Nanopore megaton announcement: Why do you need a machine? http://t.co/wqwZlHRP #AGBT”
+29m pathogenomenick: Well here you go, #AGBT day 4 tweets http://t.co/gedbgq8q – I guess we’re not expecting announcements today.
+51m mannersuwnwe4: Rehm: discusses creating single database for clinical data, with tiered levels of curation AGBT

4 – 5am EST
+26m kevinltweets: diluting rabbit’s blood in water = your sample prep I.M.P.R.E.S.S.E.D. Oxford @Nanopore machines #AGBT http://t.co/RoarVw4d
+45m mincle: @ElementoLab: #AGBT Scott Grimmond: axon guidance genes eg Robo2, Slt2, Sema3A often mutated in pancreatic adenocarcinomaoops sean
+54m phospho3d: A disposable USB pocket-sized nanopore sequencer. http://t.co/dRl8NV8R #AGBT #science #cool