Highly Combinatorial Genetic Interaction Analysis Reveals a Multi-Drug Transporter Influence Network-Reference-Cited by-同舟云学术

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Highly Combinatorial Genetic Interaction Analysis Reveals a Multi-Drug Transporter Influence Network

Published:2020-01 Issue:1 Volume:10 Page:25-38.e10
ISSN:2405-4712
Container-title:Cell Systems
language:en
Short-container-title:Cell Systems

Author:

Celaj Albi,Gebbia Marinella,Musa Louai,Cote Atina G.,Snider Jamie,Wong Victoria,Ko Minjeong,Fong Tiffany,Bansal Paul,Mellor Joseph C.,Seesankar Gireesh,Nguyen Maria,Zhou Shijie,Wang Liangxi,Kishore Nishka,Stagljar Igor,Suzuki Yo,Yachie Nozomu,Roth Frederick P.

Funder

Canadian Excellence Research Chairs

National Human Genome Research Institute of the National Institutes of Health

Canadian Institutes of Health Research Foundation

NIH/NHGRI

One Brave Idea Foundation

Ontario Genomics Institute

Genome Canada

Ontario Research Funds

Canadian Cancer Society

Canadian Institutes of Health Research

Cancer Research Society

CQDM

Publisher

Elsevier BV

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference60 articles.

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2. Combinatorial genetics reveals a scaling law for the effects of mutations on splicing;Baeza-Centurion;Cell,2019

3. Overlapping functions of the yeast oxysterol-binding protein homologues;Beh;Genetics,2001

4. Finding the sources of missing heritability in a yeast cross;Bloom;Nature,2013

5. Dual gene activation and knockout screen reveals directional dependencies in genetic networks;Boettcher;Nat. Biotechnol.,2018

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