Archive for the ‘SciLit’ Category

Constructing structural networks of signaling pathways on the proteome scale

Saturday, September 6th, 2014

Structural networks of signaling pathways
http://www.sciencedirect.com/science/article/pii/S0959440X1200070X Prism on IL10 #networks, mapping on Cosmic, disrupting mutations as drivers

What Can Article-Level Metrics Do for You?

Monday, September 1st, 2014

What Can Article-Level Metrics Do for You
http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001687 Wide distribution of #cites for @PLOSBiology papers; median 19 but 10% >50

BMC Bioinformatics | Full text | BicSPAM: flexible biclustering using sequential patterns

Sunday, August 31st, 2014

Related to BIP KDD talk, dealing with overlapping biclusters http://www.biomedcentral.com/1471-2105/15/130

BMC Bioinformatics | Full text | BicSPAM: flexible biclustering using sequential patterns

Sunday, August 31st, 2014

http://www.biomedcentral.com/1471-2105/15/130

Genomics: Hiding in plain sight : Nature : Nature Publishing Group

Sunday, August 31st, 2014

http://www.nature.com/nature/journal/v512/n7515/full/512374a.html The Nature N&V

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma

Saturday, August 30th, 2014

#Singlecell #RNAseq highlights intratumoral heterogeneity http://www.sciencemag.org/content/344/6190/1396.abs Subtype classifiers variably expressed across indiv. cells

Patel AP(1), Tirosh I(2), Trombetta JJ(2), Shalek AK(2), Gillespie SM(3),
Wakimoto H(4), Cahill DP(4), Nahed BV(4), Curry WT(4), Martuza RL(4), Louis
DN(5), Rozenblatt-Rosen O(2), SuvĂ  ML(6), Regev A(7), Bernstein BE(8).

Published Online June 12 2014
Science 20 June 2014:
Vol. 344 no. 6190 pp. 1396-1401
DOI: 10.1126/science.1254257

Big Data and Its Technical Challenges | July 2014 | Communications of the ACM

Saturday, August 30th, 2014

#BigData & Its Technical Challenges
http://cacm.acm.org/magazines/2014/7/176204-big-data-and-its-technical-challenges/abstract Data acquisition, cleaning, aggregation, analysis, visualization & interpretation

IEEE Xplore Abstract – A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics

Sunday, August 24th, 2014

Pandey mentions: Comparative Analysis of #Ensemble Classifiers [eg mean agg. or stacking]…in Genomics
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6729565&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6729565 #kdd2014

performance-diversity tradeoff: should one incl. higher performance, lower diversity ones…. but still adding diversity is good

related to https://github.com/shwhalen/datasink

PLOS Biology: Where Do Introns Come From?

Saturday, August 23rd, 2014

Where Do #Introns Come From? A suggestion: exons with premature stops; has implications for #pseudogene formation http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.0060283

QT:{{
We have proposed a novel hypothesis for the origin of spliceosomal
introns, invoking endogenous production within translatable sequences
(at least in the case of protein-coding genes), facilitated by the
activity of cellular surveillance mechanisms. Despite the mutational
hazard associated with intron presence and proliferation [136], we
argue that, at least initially, introns might represent a favorable
life line for an allele that has acquired an ORF-disrupting mutation.
In this sense, in-frame stop codons need not be dead ends, as often
believed, but rather sequences that occasionally facilitate the
evolution of eukaryotic gene structure, possibly favoring not only
intronization, but also processes such as exonization (following a PTC
loss [137]). Further experimental validation of our hypothesis would
not only support the idea that intron birth/death rates depend on both
the population-genetic [136] and the intracellular environment, but
also shed light on a surprising aspect of the evolution of eukaryotic
gene structure, i.e., the ongoing, stochastic process of mutual
conversion between exons and introns within genes.
"}}

BMC Bioinformatics | Full text | Comparing somatic mutation-callers: beyond Venn diagrams

Tuesday, August 19th, 2014

Comparing #somatic mutation-callers: beyond Venn
diagramshttp://www.biomedcentral.com/1471-2105/14/189 Moving from poor overlap of existing methods to metacallers

Meta caller developed based on multiple mutation callers calibrated by validation