Our latest with Mengjie Chen on imputing single cell RNAseq data while preserving single cell level expression variability: tinyurl.com/yah9gvcs Genome Biology

Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions (Urbut et al.) go.nature.com/2Seop4y

We're hiring! Looking for a lab tech to join us in beautiful Durham, N.C. to move forward our work on genomics and behavior in social mammals. See tung-lab.org for more about us, and apply at academicjobsonline.org/ajo/jobs/12885!

Excited to share our most recent work led by @GeneScientist17: Natural selection contributed to immunological differences between human hunter-gatherers and agriculturalists. Great collab with George (PJ) Perry lab with contributions from many others biorxiv.org/cgi/content/sh… 1/5

Postdoc position available in my group at Univ of Chicago. Work at the intersection of genetic, molecular, & environmental epidemiology. With a focus on biological aging and cancer. Pls pass along or get in touch! voices.uchicago.edu/piercelab/cont…

Exciting collaboration with Jenny Tung on a computational method for integrative allelic specific methylation analysis and mQTL mapping, with applications to baboons and wolves genomebiology.biomedcentral.com/articles/10.11…

Exciting work lead by Shiquan Sun, PhD; we were also quite surprised to see the results.

A benchmarking of dimensionality reduction techniques for scRNA-seq data from Shiquan Sun, PhD, @xzlab_org and co. They compare 18 methods on 2 simulated and 30 real datasets. There is not one method that works well across all tasks. genomebiology.biomedcentral.com/articles/10.11…

First day on Twitter! I want to share with everybody my recent work with my student Tae Kim and my long time collaborator Dr. Xiang Zhou @xzlab_org on single cell 10X UMI data. biorxiv.org/content/10.110…

Very excited on this work with Mengjie Chen Mengjie Chen

HIPPO, a heterogeneity-inspired preprocessing tool for analyzing RNA-seq data with UMIs, from Kim, @xzlab_org, and Mengjie Chen. Drop-outs follow a Poisson distribution, and can be used to measure cell-type heterogeneity, before normalization. genomebiology.biomedcentral.com/articles/10.11…

The Oxford Statistics Phasing Server will phase your high-coverage human sequence data using the HRC panel phasingserver.stats.ox.ac.uk

Normalization of Single Cell RNA Sequencing Data Using both Control and Target Genes biorxiv.org/cgi/content/sh… #bioRxiv

An evolutionary medicine perspective on Neandertal extinction. Our new #bioRxiv preprint! biorxiv.org/content/early/…

Congrats Helena Kilpinen ([email protected]) Oliver Stegle Daniel Gaffney and others! biorxiv.org/content/early/…

Please RT: Postdoc position available in my lab! Work at the interface of human genomics & microbiome. Email/DM me! blekhmanlab.org

Really nice coverage of our recent work on noninvasive genome resequencing by the talented Cristy Gelling! x.com/geneticsgsa/st…

Our paper on the MArginal ePIstasis Test. Thanks for helping to get this out, PLOS Genetics! journals.plos.org/plosgenetics/a…

Our latest on using trait-relevant tissues to construct powerful SNP set test: biorxiv.org/content/early/…