Posts Tagged ‘from’
Scratch – Imagine, Program, Share
January 31, 2015In Silver Case, U.S. Cites Link to Litigation Tied to Asbestos
January 30, 2015QT:{{”
n 2005, just as Mr. Silver’s referral income from the Weitz firm began to balloon, records show that he directed a state grant worth $250,000 to Dr. Taub for asbestos research, ostensibly related to the Sept. 11, 2001, terrorist attacks. In October 2006, Dr. Taub wrote to Mr. Silver to request another $250,000 grant. A few months later, the money arrived.
Both times, the plans submitted by Dr. Taub’s center said the money would go toward studying the general treatment of mesothelioma, making only passing reference to those who may have been exposed to asbestos after the attacks on the World Trade Center.
…
For his part, Dr. Taub served as an expert witness for the Weitz firm as recently as a 2013 case in federal court in Pennsylvania. Legal records show that his rate for working on the case was $1,750 per hour, plus $7,500 per day for testimony when overnight travel was required.
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http://www.nytimes.com/2015/01/25/nyregion/sheldon-silvers-link-to-a-bonanza-and-a-cancer.html
Pgenes make proteins
January 24, 2015Bioinformatics (2015) 31 (1): 33-39. doi: 10.1093/bioinformatics/btu615
Making novel proteins from #pseudogenes
http://bioinformatics.oxfordjournals.org/content/31/1/33.short Outcomes in 16 cases where one gets stable & functional translated products
http://bioinformatics.oxfordjournals.org/content/31/1/33.short
New NIH Biosketch–Helpful Website
January 23, 2015Here is a link for some helpful information on the new NIH format for biosketches:
Variation in cancer risk among tissues can be explained by the number of stem cell divisions
January 12, 2015Tomasetti & Volgenstein
Science 2 January 2015:
Vol. 347 no. 6217 pp. 78-81
DOI: 10.1126/science.1260825
It’s a correlation between aggressiveness, mutations and cell division http://www.sciencemag.org/content/347/6217/78
NEw paper using BrainSpan data
January 12, 2015The discovery of integrated gene networks for autism and related disorders
Fereydoun Hormozdiari
Osnat Penn
Elhanan Borenstein
Evan E. Eichler
Published in Advance November 5, 2014, doi:10.1101/gr.178855.114 Genome Res. 2015. 25: 142-154
QT:{{”
Motivated by this observation, we have developed a novel method that simultaneously integrates information from both PPI and coexpression networks to identify highly connected modules in both types of networks that are also enriched in mutations in cases and not in controls. We call this method MAGI, short for merging affected genes into integrated networks. MAGI is based on a combinatorial
optimization algorithm that aims to maximize the number of mutations in the modules while accounting for gene length and distribution of putative LoF and missense mutations in cases and controls. MAGI is generic and can be applied to any disease, given a list of de novo mutations in cases and relevant coexpression information. Using neurodevelopmental RNA-seq data from the BrainSpan Atlas
(http://www.brainspan.org/), we have applied it to exome sequence data generated from ASD, ID, epilepsy, and schizophrenia, providing a comprehensive comparison of common and specific gene modules for these diseases.
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Amazon.com: PiKo-1 Electronic Peak Flow Meter and FEV1 Meter: Health & Personal Care
December 28, 2014On Amazon but reviews indicate that computer interface is a bit problematic
Spiro PD
December 28, 2014Seems to have a complex computer interface; not available from Amazon
My Spiroo Can Tell Your Doctor When You’re Out Of Breath | TechCrunch
December 28, 2014works with iphone but doesn’t appear to available as of Dec-2014
http://www.myspiroo.com/
http://techcrunch.com/2014/04/04/my-spiroo-can-tell-your-doctor-when-youre-out-of-breath/
Human Genetics Shape the Gut Microbiome: Cell
December 19, 2014Human 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.
