output
20022026
most citedSciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

40.2k citations

Showing 2013Show all

15 papers · 1 filter

q-bio.PE2013★ 2 cited

Genome-wide scan of 29,141 African Americans finds no evidence of selection since admixture

Gaurav Bhatia, Arti Tandon, Melinda C. Aldrich +44

We scanned through the genomes of 29,141 African Americans, searching for loci where the average proportion of African ancestry deviates significantly from the genome-wide average.…

q-bio.PE2013★ 1.5k cited

Ancient human genomes suggest three ancestral populations for present-day Europeans

Iosif Lazaridis, Nick Patterson, Alissa Mittnik +117

We sequenced genomes from a 7,000 year old early farmer from Stuttgart in Germany, an 8,000 year old hunter-gatherer from Luxembourg, and seven 8,000 year old hun…

q-bio.PE2013

Response to a population bottleneck can be used to infer recessive selection

Daniel J. Balick, Ron Do, David Reich +1

Here we present the first genome wide statistical test for recessive selection. This test uses explicitly non-equilibrium demographic differences between populations to infer the m…

cond-mat.mes-hall2013★ 103 cited

All-optical sensing of a single-molecule electron spin

A. O. Sushkov, N. Chisholm, I. Lovchinsky +8

We demonstrate an all-optical method for magnetic sensing of individual molecules in ambient conditions at room temperature. Our approach is based on shallow nitrogen-vacancy (NV)…

q-bio.GN2013★ 8 cited

SMaSH: A Benchmarking Toolkit for Human Genome Variant Calling

Ameet Talwalkar, Jesse Liptrap, Julie Newcomb +7

Motivation: Computational methods are essential to extract actionable information from raw sequencing data, and to thus fulfill the promise of next-generation sequencing technology…

q-bio.QM2013★ 232 cited

Fast and accurate imputation of summary statistics enhances evidence of functional enrichment

Bogdan Pasaniuc, Noah Zaitlen, Huwenbo Shi +7

Imputation using external reference panels is a widely used approach for increasing power in GWAS and meta-analysis. Existing HMM-based imputation approaches require individual-lev…