Archive for the ‘SciLit’ Category

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

Tuesday, November 20th, 2018

A time to fast | Science

Sunday, November 18th, 2018

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

Sunday, November 18th, 2018

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

Saturday, November 17th, 2018

Inferring Genetic Ancestry: Opportunities, Challenges, and Implications

Monday, November 12th, 2018

Dynamic Human Environmental Exposome Revealed by Longitudinal Personal Monitoring: Cell

Saturday, November 3rd, 2018

Dynamic…Environmental #Exposome Revealed by
Longitudinal…Monitoring, by @SnyderShot lab QT: “Developed…method to monitor personal airborne biological & chem. exposures & followed…15 individuals for up to 890 days & >66… locations.”

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

Wednesday, October 31st, 2018

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

Tuesday, October 30th, 2018

iDASH manuscript

Monday, October 29th, 2018

link to a previous iDASH paper for reference:

Sequence of events in prostate cancer

Saturday, October 6th, 2018

Sequence of events in prostate #cancer, by @MarkARubin1 Discusses the high prevalence of AR-enhancer amplifications in recent studies
“Quigley and colleagues performed whole-genome sequencing of 101 samples of metastatic, castration-resistant prostate-cancer tissue obtained from previous studies11,12. The most frequently altered genomic site identified was the AR-enhancer region, which was amplified in 81% of samples. The high prevalence of this type of amplification is notable because enhancer amplifications identified so far for other cancer types generally arise at much lower
frequency13–16. Moreover, the high prevalence of this AR-enhancer amplification in the data presented by Viswanathan and Quigley contrasts with its occurrence in only 1 of 54 previously published whole-genome sequences of prostate-cancer samples obtained before clinical treatment had commenced17.”