Pubmed: Universal count correction for high-throughput sequencing. http://t.co/6SAf0z9RuU
Analysis of commonly used parametric fits to short read data. Looks like useful work by the Gifford lab. http://t.co/qZKAyAkiD4
fixseq. negative binomialでなくてlog concaveな分布でモデル化するのだとか。面白い。 http://t.co/LeydqLnHXM
FIXSEQ: Universal Count Correction for High-Throughput Sequencing: New Algorithm for RNA-seq, DNase-seq, and ChIP-seq http://t.co/okqQrOwqXz
New data correction algorithm for RNA-seq, ChIP-seq and other read-count-based assays, in @PLOSCompBiol http://t.co/12UCW9ffBy #NBTHighlight
New data correction algorithm for RNA-seq, ChIP-seq and other read-count-based assays, in @PLOSCompBiol http://t.co/12UCW9ffBy #NBTHighlight
New data correction algorithm for RNA-seq, ChIP-seq and other read-count-based assays, in @PLOSCompBiol http://t.co/12UCW9ffBy #NBTHighlight
Poisson log-concave distribution / Universal Count Correction for High-Throughput Sequencing http://t.co/Uayc6WcTsn
New data correction algorithm for RNA-seq, ChIP-seq and other read-count-based assays, in @PLOSCompBiol http://t.co/12UCW9ffBy #NBTHighlight
New data correction algorithm for RNA-seq, ChIP-seq and other read-count-based assays, in @PLOSCompBiol http://t.co/12UCW9ffBy #NBTHighlight
Universal count correction for high-throughput sequencing. http://t.co/achWtBFIo5
MT"@NatureBiotech: New seq data correction algorithm in @PLOSCompBiol http://t.co/Ag0Zaogpil #NBTHighlight” @dcfactor @SorryChips @jjm5083
New data correction algorithm for RNA-seq, ChIP-seq and other read-count-based assays, in @PLOSCompBiol http://t.co/12UCW9ffBy #NBTHighlight
@PLOSCompBiol http://t.co/g0hOt2OMaX” Shame they didn't provide a tool to automatically reanalyse published data.
New data correction algorithm for RNA-seq, ChIP-seq and other read-count-based assays, in @PLOSCompBiol http://t.co/12UCW9ffBy #NBTHighlight
New data correction algorithm for RNA-seq, ChIP-seq and other read-count-based assays, in @PLOSCompBiol http://t.co/12UCW9ffBy #NBTHighlight
New data correction algorithm for RNA-seq, ChIP-seq and other read-count-based assays, in @PLOSCompBiol http://t.co/12UCW9ffBy #NBTHighlight
New data correction algorithm for RNA-seq, ChIP-seq and other read-count-based assays, in @PLOSCompBiol http://t.co/vMuW1f0Tm9 #NBTHighlight
New data correction algorithm for RNA-seq, ChIP-seq and other read-count-based assays, in @PLOSCompBiol http://t.co/12UCW9ffBy #NBTHighlight
Universal count correction for high-throughput #sequencing. #RNASeq ChIPSeq http://t.co/achWtBFIo5
Universal Count Correction for *-seq NGS experiments http://t.co/c1kynCliVw via @lpachter
Universal Count Correction for *-seq NGS experiments http://t.co/c1kynCliVw via @lpachter
Universal Count Correction for High-Throughput Sequencing by David K. Gifford @PLOSCompBiol http://t.co/m5neBKk5IX
Universal Count Correction for High-Throughput Sequencing by David K. Gifford @PLOSCompBiol http://t.co/m5neBKk5IX
Universal Count Correction for High-Throughput Sequencing by David K. Gifford @PLOSCompBiol http://t.co/m5neBKk5IX
Top #tweeted story in #bioinformatics: PLOS Computational Biology: Universal Co… http://t.co/7xrdBPqD4H, see more http://t.co/ljZJOmTi5F
Universal Count Correction for *-seq NGS experiments http://t.co/c1kynCliVw via @lpachter
Universal Count Correction for *-seq NGS experiments http://t.co/c1kynCliVw via @lpachter
Universal Count Correction for *-seq NGS experiments http://t.co/c1kynCliVw via @lpachter
FIXSEQ: Universal Count Correction for High-Throughput Sequencing .... http://t.co/EToDjhOwWr
Universal Count Correction for *-seq NGS experiments http://t.co/c1kynCliVw via @lpachter
Universal Count Correction for High-Throughput #Sequencing http://t.co/qxWrCR0h2e
Universal Count Correction for High-Throughput #Sequencing http://t.co/qxWrCR0h2e
Universal Count Correction for High-Throughput #Sequencing http://t.co/qxWrCR0h2e
Universal Count Correction for High-Throughput #Sequencing http://t.co/GjGVr4Dsbi #NGS v @SAGRudd
Universal Count Correction for High-Throughput #Sequencing http://t.co/GjGVr4Dsbi #NGS v @SAGRudd
"Universal Count Correction for High-Throughput Sequencing" http://t.co/vDl7H8qJjk
Universal count correction (refining diginorm, which refined deduplication) http://t.co/yXJkLFvjeE But what about ambiguously mapped reads?
Universal count correction (refining diginorm, which refined deduplication) http://t.co/yXJkLFvjeE But what about ambiguously mapped reads?
Universal count correction (refining diginorm, which refined deduplication) http://t.co/yXJkLFvjeE But what about ambiguously mapped reads?
"Universal Count Correction for High-Throughput Sequencing" http://t.co/vDl7H8qJjk
"Universal Count Correction for High-Throughput Sequencing" http://t.co/vDl7H8qJjk
Universal count correction (refining diginorm, which refined deduplication) http://t.co/yXJkLFvjeE But what about ambiguously mapped reads?
"Universal Count Correction for High-Throughput Sequencing" http://t.co/vDl7H8qJjk
"Universal Count Correction for High-Throughput Sequencing" http://t.co/vDl7H8qJjk
Universal Count Correction for High-Throughput Sequencing http://t.co/xQwLHfo90N Science.alltop
Universal Count Correction for High-Throughput Sequencing http://t.co/L7e5K4sHLQ via @ploscompbio
Universal Count Correction for High-Throughput Sequencing http://t.co/2QaKetdP1M
universal count correction for high-throughput sequencing http://t.co/7e0xtfWr8T