Archive for the 'SciLit' Category

Productivity and influence in bioinformatics: A bibliometric analysis using PubMed central

December 28, 2018

https://onlinelibrary.wiley.com/doi/full/10.1002/asi.22970
QT:{{”
Appendix shows the top 20 most highly cited authors based on 546,245 citations from PubMed Central. In all three periods, M. Gerstein, a professor in computational biology and bioinformatics at Yale University, is
both the most highly cited and productive author in the first author category.
“}}

Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions

December 25, 2018

seems to be better for eQTLs
https://www.nature.com/articles/s41588-018-0268-8

Genetic ancestry and the search for personalized genetic histories | Nature Reviews Genetics

November 19, 2018

https://www.nature.com/articles/nrg1405

A time to fast | Science

November 17, 2018

http://science.sciencemag.org/content/362/6416/770.full

Single-cell reconstruction of the early maternal–fetal interface in humans | Nature

November 17, 2018

https://www.nature.com/articles/s41586-018-0698-6

‘Go or grow’: the key to the emergence of invasion in tumour progression?

November 16, 2018

https://www.ncbi.nlm.nih.gov/pubmed/20610469

Inferring Genetic Ancestry: Opportunities, Challenges, and Implications

November 11, 2018

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2869013/

Dynamic Human Environmental Exposome Revealed by Longitudinal Personal Monitoring: Cell

November 3, 2018

Dynamic…Environmental #Exposome Revealed by
Longitudinal…Monitoring, by @SnyderShot lab
https://www.Cell.com/cell/fulltext/S0092-8674(18)31121-8 QT: “Developed…method to monitor personal airborne biological & chem. exposures & followed…15 individuals for up to 890 days & >66… locations.”

https://www.cell.com/cell/pdf/S0092-8674(18)31121-8.pdf

Improving the value of public RNA-seq expression data by phenotype prediction | Nucleic Acids Research | Oxford Academic

October 30, 2018

https://academic.oup.com/nar/article/46/9/e54/4920847

Cloud computing for genomic data analysis and collaboration | Nature Reviews Genetics

October 30, 2018

https://www.nature.com/articles/nrg.2018.8