Posts Tagged ‘from’

Genome-wide association study identifies 74 loci associated with educational attainment : Nature : Nature Publishing Group

Saturday, May 21st, 2016

GWAS identifies 74 loci associated w. educational attainment http://www.nature.com/nature/journal/vaop/ncurrent/full/nature17671.html Described in 3 pgs of main text & 146 pgs of supplement

http://www.nature.com/nature/journal/vaop/ncurrent/full/nature17671.html

Lalonde E*, Ishkanian AS*, ….P’ng C, Collins CC, Squire JA, Jurisica I, Cooper C, Eeles R, Pintilie M, Dal Pra A, Davicioni E, Lam WL, Milosevic M, Neal DE, van der Kwast T, Boutros PC, Bristow RG (2014) “Tumour genomic a nd microenvironmental heterogeneity as integrated predictors for prostate cancer recurrence: a retrospective study” La ncet Oncology 15(13):1521-1532 (PMID: 25456371)

Tuesday, May 17th, 2016

Genomic & microenvironmental heterogeneity as integrated predictors for prostate #cancer recurrence
http://www.ncbi.nlm.nih.gov/pubmed/25456371 CNVs & hypoxia

* Lalonde E*, Ishkanian AS*, ….P’ng C, Collins CC, Squire JA, Jurisica I, Cooper C, Eeles R, Pintilie M, Dal Pra A, Davicioni E, Lam WL, Milosevic M, Neal DE, van der Kwast T, Boutros PC, Bristow RG (2014) “Tumour genomic and microenvironmental heterogeneity as integrated predictors for prostate cancer recurrence: a retrospective study” Lancet Oncology 15(13):1521-1532 (PMID: 25456371)

The novelty of the paper is that it is the first study integrating DNA-based signatures and microenviroment-based signature for cancer prognosis. The authors found four prognostic indices, i.e. cancer genomic subtype (generated from clusters of CNV profiles), genomic instability (represented by the percentage of genome alteration), DNA signature (276 genes identified from random forests), and tumor hypoxia (the microenvironment signature), to be effective in predicting patient survival in different groups. Standard clinical univariate and multivariate analyses were performed.

Cell lineage analysis in human brain using endogenous retroelements. – PubMed – NCBI

Saturday, May 7th, 2016

Cell-lineage analysis in human #brain using endogenous retroelements http://www.cell.com/neuron/abstract/S0896-6273(14)01137-4 Tracing L1 insertions w/ #singlecell sequencing

Using single cell WGS of 16 neuronal cells the authors investigated two somatic insertions of L1Hs elements in an adult human brain. Using these results the authors infer that L1 somatic insertions are infrequent and ALUs and SVAs somatic retrotransposition are extremely rare. Assessing two L1Hs insertions in 32 samples across different regions of this same adult brain, they found that while one insertion was spatially restricted (2x1cm region), the other was found across all samples of the adult brain (but not found in other tissues such as Heart, Lung, etc.). The more restricted one (L1Hs#1) is inferred to have happened during the Fetal stage (first trimester) while the broader one happened earlier, approximately 2 weeks
post-fertilization. Overall the paper is clear, concise, and simple. It answers an interesting biological question: Can retrotransposition be used as a marker of cell clonal expansion? It does, although the retrotransposition frequency is very small and SNVs might support better results for the same analysis due to their higher frequency..

Magical gadget scans your food to reveal its nutritional value

Friday, May 6th, 2016

http://mashable.com/2016/01/04/dietsensor-scio-scans-food/#hRQDoFKARqqN

Identification of significantly mutated regions across cancer types highlights a rich landscape of functional molecular alterations : Nature Genetics : Nature Publishing Group

Monday, May 2nd, 2016

Identification of [872] sig. mutated regions across #cancer types http://www.nature.com/ng/journal/v48/n2/full/ng.3471.html ranges from noncoding annotations to 3D structure

Who’s downloading pirated papers?

Monday, May 2nd, 2016

QT:{{”
“Bill Hart-Davidson, MSU’s associate dean for graduate education, suggests that the likely answer is “text-mining,” the use of computer programs to analyze large collections of documents to generate data. When I called Hart-Davidson, I suggested that the East Lansing Sci-Hub scraper might be someone from his own research team. But he laughed and said that he had no idea who it was. But he understands why the scraper goes to Sci-Hub even though MSU subscribes to the downloaded ” “}}

Who’s downloading pirated papers? Everyone
http://www.sciencemag.org/news/2016/04/whos-downloading-pirated-papers-everyone freely available data on @scihub usage
http://datadryad.org/resource/doi:10.5061/dryad.q447c

OneTab extension for Google Chrome and Firefox – save up to 95% memory and reduce tab clutter

Friday, April 29th, 2016

http://www.one-tab.com/

undo

Wednesday, April 27th, 2016

undo on android

http://lmgtfy.com/?q=undo+on+android

Learning the Sequence Determinants of Alternative Splicing from Millions of Random Sequences: Cell

Sunday, April 24th, 2016

Learning the…Determinants of Alternative #Splicing [in a largely linear model] from Millions of Random Sequences
http://www.cell.com/cell/abstract/S0092-8674(15)01271-4

** Rosenberg et al Cell. 2015

Builds a model of splicing using a library of randomized sequence Also, builds a generalized model for predicting effect of a SNP in the Geuvadis RNAseq
7mer model does well with lots of data

David Rose Extended Interview Video – August 26, 2014 | Comedy Central

Saturday, April 23rd, 2016

http://www.cc.com/shows/the-daily-show-with-jon-stewart/interviews/nkja04/david-rose-extended-interview