Finding lost treasures in #exome sequencing data. Mining off-target, often noncoding, reads from 1000G, TCGA, ESP, &c
http://www.ncbi.nlm.nih.gov/pubmed/23972387
Posts Tagged ‘from’
Finding the lost treasures in exome sequencing data
April 6, 2014FYI: The Cofounder Of 23andMe’s Next Project: Mining Your Quantified Self
April 6, 2014Cofounder Of 23andMe’s Next Project: Mining Your #QuantifiedSelf. @lindaavey’s @WeAreCurious creates a forum for this
http://www.fastcoexist.com/3027630/the-cofounder-of-23andmes-next-project-mining-your-quantified-self
paper on cancer driver genes in RECOMB 2014
April 6, 2014paper from RECOMB 2014 might be interesting to you, which uses
hitting time in random walk to identify cancer drivers.
http://link.springer.com/chapter/10.1007%2F978-3-319-05269-4_23
HIT.nDRIVE: Multi-Driver Gene Prioritization based on Hitting Time
Raunak Shrestha, Ermin Hodzic, Jake Yeung, Kendric Wang, Thomas
Sauerwald, Phuong Dao, Shawn Anderson, Himisha Beltran, Mark A. Rubin,
Colin Collins, Gholamreza Haffari and S. Cenk Sahinalp.
After TopHat, Bowtie and Cufflinks — here’s Ballgown !
April 6, 2014“Flexible isoform-level differential expression analysis with Ballgown” http://biorxiv.org/content/early/2014/03/30/003665
This synthetic yeast genome may reignite controversy regarding function of non-coding region
March 31, 2014Deletion of introns and other intergenic regions
Total Synthesis of a Functional Designer Eukaryotic Chromosome
http://www.sciencemag.org/content/early/2014/03/26/science.1249252
Looping Back to Leap Forward: Transcription Enters a New Era
March 31, 2014Statistics and the hot hand
March 29, 2014The hot hand might be real after all: But streaking shooters only 1-2% more likely than #random to make next basket
http://www.bostonglobe.com/ideas/2014/02/09/the-hot-hand-might-real-after-all/N8V34bGLWhPqk0Sx9yoHWI/story.html
Predicting Social Security numbers from public data
March 27, 2014QT:{{”
Such findings highlight the hidden privacy costs of widespread information dissemination and the complex interactions among multiple data sources in modern information economies (11), underscoring the role of public records as breeder documents (12) of more sensitive data.
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The Parable of Google Flu: Traps in Big Data Analysis
March 27, 20142 new FANTOM papers
March 27, 2014QT:{{”
The atlas is used to compare regulatory programs between different cells at unprecedented depth, to identify disease-associated regulatory single nucleotide polymorphisms, and to classify
cell-type-specific and ubiquitous enhancers.
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A promoter-level mammalian expression atlas
http://www.nature.com/nature/journal/v507/n7493/full/nature13182.html
An atlas of active enhancers across human cell types and tissues http://www.nature.com/nature/journal/v507/n7493/full/nature12787.html