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
Posts Tagged ‘from’
Who’s downloading pirated papers?
May 2, 2016QT:{{”
“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
April 29, 2016undo
April 27, 2016undo on android
Learning the Sequence Determinants of Alternative Splicing from Millions of Random Sequences: Cell
April 24, 2016Learning 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
repository of PDX models of leukemia and lymphoma
April 21, 2016Protein folds recognized by an intelligent predictor based-on evolutionary and structural information – Cheung – 2015 – Journal of Computational Chemistry – Wiley Online Library
April 17, 2016Fold [class] recognized by an…[NN] predictor based-on evolutionary & structural info., w/ particle-swarm training
http://onlinelibrary.wiley.com/doi/10.1002/jcc.24232/full
Ngaam J. Cheung,
Xue-Ming Ding,
Hong-Bin Shen
First published: 27 October 2015
DOI: 10.1002/jcc.24232
Epigenomic analysis detects aberrant super-enhancer DNA methylation in human cancer | Genome Biology | Full Text
April 17, 2016two papers for journal club:
1. What are super-enhancers? Pott et al., Nature Genetics (2015) http://www.nature.com/ng/journal/v47/n1/full/ng.3167.html
2. Epigenomic analysis detects aberrant super-enhancer DNA methylation in human cancer, Heyn et al., Genome Biology (2016)
https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0879-2
#Epigenomic analysis detects aberrant super-enhancer DNA methylation in human #cancer
https://GenomeBiology.biomedcentral.com/articles/10.1186/s13059-016-0879-2 hypo-Me of many large blocks
MicroRNA silencing for cancer therapy targeted to the tumour microenvironment : Nature : Nature Publishing Group
April 8, 2016miRNA silencing for…therapy targeted to the [acidic] tumor microenviron., w/ #pHLIP
http://www.nature.com/nature/journal/v518/n7537/abs/nature13905.html miR-155 moves beyond biomarker
linkstream2 microblog 