WGLab

Wang Genomics Lab develops informatics approaches to improve our understanding of human diseases and enable the implementation of genomic medicine.

[WGLab @wangglab]

The EHR-Phenolyzer Looks to Speed Genetic Diagnoses | Data Science Institute https://t.co/dnqqKArbti

[Eric Topol @EricTopol]

The combo of #EHR deep phenotyping and exome sequencing to make the diagnosis https://t.co/EkBRiPfB9T @AJHGNews @GeneticsSociety @CellPressNews @Columbia @ColumbiaScience @ChildrensPhila

[WGLab @wangglab]

Updated! NextSV: a computational pipeline for structural variation analysis from low-coverage long-read sequencing https://t.co/9SjRZyi0Nk

[WGLab @wangglab]

Our paper on RepeatHMM (repeat estimation from long-read sequencing) was online now https://t.co/zgHZ2yRheZ #genomemedicine

[WGLab @wangglab]

@pathogenomenick Hi Nick, thanks for making it available! It is our oversight not to include the biorxiv citation. I'll see how to add a comment in website.

[Reid J. Robison, MD MBA @reidrobison]

Congrats to @GholsonLyon @evolvability @kaichop et al for this new paper on the challenges of WGS & genomic medicine https://t.co/idXUprQAvE

[WGLab @wangglab]

Postdoctoral Position in Computational Genomics https://t.co/RrCT1i37Lz

[WGLab @wangglab]

Clinical Interpretation of Genetic Variants by the 2015 ACMG-AMP Guidelines: The #intervar paper is online now: https://t.co/pZbHfklqQN.

[Gholson Lyon @GholsonLyon]

iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes.
https://t.co/2cp5tIM7tb

[WGLab @wangglab]

New Precision Medicine Tool Helps Optimize Cancer Treatment - Columbia University Medical Center https://t.co/HODo4diDpW via @columbiamed

[WGLab @wangglab]

Our iCAGES (integrated CAncer GEnome Score) paper is published online now: https://t.co/NKgcC9WBc1!