Archive for the 'SciLit' Category

VIRGO: computational prediction of gene functions

December 25, 2014

VIRGO: computational prediction of gene function http://nar.oxfordjournals.org/content/34/suppl_2/W340.full Webserver propagates GO terms over PPI & gene-expression #networks

This work was said to be the first web server for gene function
annotation (not the first algorithm).
The idea is to predict gene functions from known molecular interaction
networks (such as PPI), which includes both annotated and unannotated
genes. The potential function of an unannotated gene is predicted
using a propagation diagram, which takes into account the neighbors’
functions. The weight of edge in the network is determined by user uploaded expression data. Weight = |Pearson correlation| of expression
profiles of the gene pair. Weight reflects the confidence of the edge.

BMC Bioinformatics | Abstract | Sensitive detection of pathway perturbations in cancers

December 23, 2014

Sensitive detection of pathway perturbations in #cancers
http://www.biomedcentral.com/1471-2105/13/S3/S9/abstract Differential expression of #pathways (in toto or a sub-part)

** Sensitive detection of pathway perturbations in cancers. Rivera et al. BMC Bioinfo (2014)

In this paper, the authors introduce a new computational method that identifies subsets of pathways that exhibit differential gene expression between cancer and normal tissue. Some previous methods only considered differential expression in sets of genes without considering the structure of interactions between the genes or their protein products. Other previous methods looked at pathway
perturbations, but required all members of a pathway to exhibit differential gene expression in order for the pathway to appear significant. The authors demonstrate the general superiority of their method to these previous methods, as well as the robustness of their method to missing data. The authors also consider future enhancements, such as taking into account the direction of differential expression, using more information on the nature of each gene interaction involved, and using universal protein interaction networks to incorporate data beyond what is found in curated pathway databases.

Human Genetics Shape the Gut Microbiome: Cell

December 19, 2014

Human Genetics Shape the Gut #Microbiome
http://www.cell.com/abstract/S0092-8674%2814%2901241-0 A particular family of firmicutes is highly heritable & correlated w/ BMI

Goodrich, J.K., Waters, J.L., Poole, A.C., Sutter, J.L., Koren, O., Blekhman, R., Beaumont, M., Van Treuren, W., Knight, R., Bell, J.T., et al. (2014). Human Genetics Shape the Gut Microbiome. Cell 159, 789–799.

hi-C for 9 cell types

December 16, 2014

A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of #Chromatin Looping
http://www.cell.com/cell/abstract/S0092-8674(14)01497-4 HiC data for 9 celltypes

A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping

Suhas S.P. Rao
,Miriam H. Huntley
Neva C. Durand
Elena K. Stamenova
Ivan D. Bochkov
James T. Robinson
Adrian L. Sanborn
Ido Machol
Arina D. Omer
Eric S. Lander
Erez Lieberman Aiden

DOI: http://dx.doi.org/10.1016/j.cell.2014.11.021

http://www.cell.com/cell/abstract/S0092-8674(14)01497-4

BMC Bioinformatics | Full text | Inferring clonal evolution of tumors from single nucleotide somatic mutations

December 15, 2014

BMC Bioinformatics | Full text | Inferring clonal evolution of tumors from single nucleotide somatic mutations
http://www.biomedcentral.com/1471-2105/15/35

interesting article

December 15, 2014

Bioinformatics. Sep 15, 2013; 29(18): 2223–2230.
Published online Jul 9, 2013. doi: 10.1093/bioinformatics/btt375 PMCID: PMC3753564

A comparative analysis of algorithms for somatic SNV detection in cancer

twin ASEs

December 15, 2014

http://www.nature.com/ng/journal/vaop/ncurrent/full/ng.3162.html

Gene-gene and gene-environment interactions detected by transcriptome sequence analysis in twins

Alfonso Buil,
Andrew Anand Brown,
Tuuli Lappalainen,
Ana Viñuela,
Matthew N Davies,
Hou-Feng Zheng,
J Brent Richards,
Daniel Glass,
Kerrin S Small,
Richard Durbin,
Timothy D Spector
& Emmanouil T Dermitzakis

hi-C for 9 cell types

December 14, 2014

A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping

Suhas S.P. Rao
,Miriam H. Huntley
Neva C. Durand
Elena K. Stamenova
Ivan D. Bochkov
James T. Robinson
Adrian L. Sanborn
Ido Machol
Arina D. Omer
Eric S. Lander
Erez Lieberman Aiden

DOI: http://dx.doi.org/10.1016/j.cell.2014.11.021

http://www.cell.com/cell/abstract/S0092-8674(14)01497-4

A load driver device for engineering modularity in biological networks : Nature Biotechnology : Nature Publishing Group

December 9, 2014

A load driver device for engineering modularity in…#networks http://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.3044.html Allows joining components w/o downstream retroactivity

Twitter “Exhaust” Reveals Patterns of Unemployment | MIT Technology Review

December 1, 2014

Social media fingerprints of unemployment, from detecting network components in tweet mining arxiv.org/abs/1411.3140 +
http://www.technologyreview.com/view/532746/twitter-exhaust-reveals-patterns-of-unemployment

Lots of press for an arxiv paper, viz:
Twitter “Exhaust” Reveals Patterns of Unemployment | MIT Technology Review

QT:{{”

So the team analysed the rate at which messages were exchanged between regions using a standard community detection algorithm. This revealed 340 independent areas of economic activity, which largely coincide with other measures of geographic and economic distribution. “This result shows that the mobility detected from geolocated tweets and the communities obtained are a good description of economical areas,” they say.

Finally, they looked at the unemployment figures in each of these regions and then mined their database for correlations with twitter activity.

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