Archive for October, 2014

Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, Kondrashov AS, Sunyaev SR. A method and server for predicting damaging missense mutations. Nature Methods (2010) 7: 248-249.

Saturday, October 11th, 2014

Server for predicting damaging missense #mutations
http://www.nature.com/nmeth/journal/v7/n4/full/nmeth0410-248.html Polyphen2 uses both structure & sequence (eg ASA & conservation)

http://www.ncbi.nlm.nih.gov/pubmed/20354512

Polyphen2 includes both structural and sequence features to predict the effect of nonsynonymous substitutions on protein function. Similar to many other methods, Polyphen2 uses evolutionary conservation as one of the features to identify functionally important residues. Integration of 3D-structure, membrane-specific features (PHAT matrix for TM regions) and other features such as protein-domain and active-site are the strengths of Polyphen2 compared to other sequence-based software making it a good tool for prediction.

Giving Back to Your School in a Meaningful Way – NYTimes.com

Friday, October 10th, 2014

http://www.nytimes.com/2014/10/11/your-money/giving-back-to-your-school-in-a-big-way.html?rref=your-money&module=Ribbon&version=context&region=Header&action=click&contentCollection=Your%20Money&pgtype=article

The Most Serious Threat When Using Credit: You – NYTimes.com

Friday, October 10th, 2014

http://www.nytimes.com/2014/10/11/your-money/the-slippery-plastic-slope-to-overspending.html?smid=tw-nytimes

Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study : Nature Biotechnology : Nature Publishing Group

Friday, October 10th, 2014

Multiplatform assessment of #transcriptome profiling [w.] RNAseq http://www.nature.com/nbt/journal/v32/n9/full/nbt.2972.html Nice plots showing great effect of poly-A selection

Yale kerberos authentication

Friday, October 10th, 2014

http://yaledailynews.com/blog/2014/10/09/breaking-yale-data-server-down/

Yale’s kerberos authentication is down…. kind of bad….

What Kids Around the World Eat for Breakfast – NYTimes.com

Friday, October 10th, 2014

http://www.nytimes.com/interactive/2014/10/08/magazine/eaters-all-over.html?_r=1

NIH BD2K – 1st awards

Friday, October 10th, 2014

http://bd2k.nih.gov/FY14/COE/COE.html#sthash.0bCFkkg3.dpbs
http://bd2k.nih.gov/FY14/DDICC/DDICC.html#sthash.M2bAtnWw.dpbs

Bina Wins $1M VA Million Veteran Program Contract

Thursday, October 9th, 2014

http://www.genomeweb.com/informatics/bina-wins-1m-va-million-veteran-program-contract

Bina Wins $1M VA Million Veteran Program Contract
October 09, 2014

iOS 8 How-to: Have your iOS device read text for you | 9to5Mac

Thursday, October 9th, 2014

Speak text with ios…
http://9to5mac.com/2014/10/04/ios-8-how-to-have-your-ios-device-read-text-for-you/

Signaling hypergraphs: Trends in Biotechnology

Thursday, October 9th, 2014

Signaling #hypergraphs
http://www.cell.com/trends/biotechnology/abstract/S0167-7799(14)00071-7 Edges from interactions of 2 sets of nodes. Better representation of assemblies & #complexes.

QT:{{”
each edge is defined not by interaction of 2 nodes (as in graphs), but 2 sets of nodes (known as hypernodes in hypergraphs)……The use of hypernodes also represents three concepts better than directed or non-directed graphs: protein complexes, protein assemblies and regulation (especially involving complexes/assemblies).
“}}

Signaling hypergraphs. Ritz et al. (2014) TIB

This opinion paper advocates the use of hypergraphs to complement graph-based signaling network and pathway analyses, where each edge is defined not by interaction of 2 nodes (as in graphs), but 2 sets of nodes (known as hypernodes in hypergraphs). They argue that
hypergraphs is a set-based method that acts like a more general version of a graph. The use of hypernodes also represents three concepts better than directed or non-directed graphs: protein complexes, protein assemblies and regulation (especially involving complexes/assemblies). They propose that hypergraphs can be very useful in situations where the effects of individual proteins might be neglected in graphs but will have a noticeable effect when these proteins are included in protein complexes as hypernodes. They use 3 applications as examples: pathway enrichment, pathway reconstruction, and pathway crosstalk.