Archive for the 'SciLit' Category

Ontologies in Quantitative Biology: A Basis for Comparison, Integration, and Discovery

July 5, 2014

#Ontologies in Quantitative Biology
http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1000374 Nice example (RTKs) showing utility of #DAGs & good normalized #bibliometrics

RTK = receptor Tyr Kinase
norm pub stats = Hits per million in pubmed

Looking for a tool to find fusion transcript — use Grep :)

June 28, 2014

The “Grep” Command But Not FusionMap, FusionFinder or ChimeraScan Captures the CIC-DUX4 Fusion Gene from Whole Transcriptome Sequencing Data on a Small Round Cell Tumor with t(4;19)(q35;q13)

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0099439

amino acid changes in 1000 Genomes Project Thornton Lab

June 23, 2014

1000G v disease variants
http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003382

A mammalian pseudogene lncRNA at the interface of inflammation and anti-inflammatory therapeutics | eLife

June 22, 2014

QT:{{”
We identify an lncRNA pseudogene, Lethe (named after the mythological river of forgetfulness, for its role in negative feedback), which is expressed in response to proinflammatory cytokines TNFα and IL-1β, and the anti-inflammatory agent, dexamthasone, but is not responsive to microbial components, and is primarily found on the chromatin. Lethe is regulated by RelA, independent of pseudogene family members and proximal genes. Additionally, Lethe is dramatically downregulated in aged spleen. Finally, Lethe binds directly to RelA to inhibit NF-κB DNA binding activity. These findings suggest that Lethe may function as a novel negative regulator of NF-κB, to help fine tune the inflammatory response.
“}}

A mammalian #pseudogene #lncRNA at the interface of inflammation… Lethe may down-regulate NF-kB via binding to RelA
http://elifesciences.org/content/2/e00762

No use of Gencode pgenes !

cancer mutation rates versus chromatin

June 14, 2014

Chromatin organization is a major influence on regional mutation rates in human cancer cells
Benjamin Schuster-Böckler & Ben Lehner

http://www.nature.com/nature/journal/vaop/ncurrent/abs/nature11273.html

Bioengineering and systems biology. Ann Biomed Eng. 2006 – PubMed – NCBI

June 14, 2014

Bioengineering & #systemsbiology. Classic def’n in terms of the “4 M’s”—Measurement, #Mining, Modeling & Manipulation
http://www.ncbi.nlm.nih.gov/pubmed/16474915

QT:{{”

Systems Biology can also be defined operationally, as
by the MIT Computational & Systems Biology Initiative,
in terms of the “4 M’s”—Measurement, Mining, Modeling,
and Manipulation—illustrated schematically in Fig. 1 (see
http://csbi.mit.edu/).

“}}

Multiscale representation of genomic signals : Nature Methods : Nature Publishing Group

June 14, 2014

Interesting but addressing mappability issue is key! Might want to also use a non-analytic stat test….
Compared to wavelets, non-independence betw. scales, perhaps key for allowing pruning.

Multiscale representation of #genomic signals. Fold changes & peaks at different scales; better expression prediction
http://www.nature.com/nmeth/journal/v11/n6/full/nmeth.2924.html

Horizontal transfer of an adaptive chimeric photoreceptor from bryophytes to ferns

June 13, 2014

http://www.economist.com/news/science-and-technology/21600856-survival-ferns-present-depended-ancient-accident-time-and

#Horizontaltransfer of an adaptive chimeric photoreceptor [Neochrome] from bryophytes to #ferns. Careful #phylogeny
http://www.pnas.org/content/111/18/6672.abstract

“An information-theoretic framework for resolving community structure in complex networks.” Proceedings of the National Academy of Sciences

June 12, 2014

Rosvall, Martin, and Carl T. Bergstrom. “An information-theoretic framework for resolving community structure in complex networks.” Proceedings of the National Academy of Sciences 104.18 (2007): 7327-7331.

Info-theoretic framework for… community structure in complex #networks. Compression v modularity, former better?
http://www.pnas.org/content/104/18/7327.short

Genomic Analysis of the Clonal Origins of Relapsed Acute Lymphoblastic Leukemia

June 8, 2014

Science. 2008 Nov 28;322(5906):1377-80. doi: 10.1126/science.1164266.

Mullighan CG1, Phillips LA, Su X, Ma J, Miller CB, Shurtleff SA, Downing JR.

Interesting older paper

Genomic analysis of the clonal origins of relapsed ALL
http://www.sciencemag.org/content/322/5906/1377.abs Older paper, describing relapse as arising from minor subclone