Posts Tagged ‘from’

Finding the lost treasures in exome sequencing data

April 6, 2014

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

FYI: The Cofounder Of 23andMe’s Next Project: Mining Your Quantified Self

April 6, 2014

Cofounder 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, 2014

paper 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, 2014

Deletion 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

http://syntheticyeast.org/

Looping Back to Leap Forward: Transcription Enters a New Era

March 31, 2014

http://www.sciencedirect.com/science/article/pii/S0092867414002013#

Statistics and the hot hand

March 29, 2014

The 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, 2014

QT:{{”
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.
“}}

http://www.pnas.org/content/106/27/10975.full

The Parable of Google Flu: Traps in Big Data Analysis

March 27, 2014

http://www.sciencemag.org/content/343/6176/1203.summary

2 new FANTOM papers

March 27, 2014

QT:{{”
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.
“}}

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