Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Yossi Farjoun

Showing results (1-10 of 34) with videos related to

Pageof 4
Sort By:
Gigascience|May 20, 2016
Recommendations for open data scienceMelissa Gymrek, Yossi Farjoun
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 7, 2011
Aggregation according to classical kinetics: from nucleation to coarseningYossi Farjoun, John C Neu
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 31, 2008
Exhaustion of nucleation in a closed systemYossi Farjoun, John C Neu
Bioinformatics (Oxford, England)|December 13, 2019
Lean and deep models for more accurate filtering of SNP and INDEL variant callsSam Friedman, Laura Gauthier, Yossi Farjoun, et al.
Nature Communications|July 31, 2020
Detecting sample swaps in diverse NGS data types using linkage disequilibriumNauman Javed, Yossi Farjoun, Tim J Fennell, et al.
Nature Methods|July 18, 2018
A synthetic-diploid benchmark for accurate variant-calling evaluationHeng Li, Jonathan M Bloom, Yossi Farjoun, et al.
Human Genetics|April 3, 2023
Predicting ExWAS findings from GWAS data: a shorter path to causal genesKevin Y H Liang, Yossi Farjoun, Vincenzo Forgetta, et al.
Nature Communications|October 4, 2023
Alternative splicing in lung influences COVID-19 severity and respiratory diseasesTomoko Nakanishi, Julian Willett, Yossi Farjoun, et al.
Communications Biology|December 9, 2020
A validated lineage-derived somatic truth data set enables benchmarking in cancer genome analysisMegan Shand, Jose Soto, Lee Lichtenstein, et al.
Human Genetics|August 28, 2023
Colocalization of expression transcripts with COVID-19 outcomes is rare across cell states, cell types and organsJulian Daniel Sunday Willett, Tianyuan Lu, Tomoko Nakanishi, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Gigascience|May 20, 2016
Recommendations for open data scienceMelissa Gymrek, Yossi Farjoun
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 7, 2011
Aggregation according to classical kinetics: from nucleation to coarseningYossi Farjoun, John C Neu
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 31, 2008
Exhaustion of nucleation in a closed systemYossi Farjoun, John C Neu
Bioinformatics (Oxford, England)|December 13, 2019
Lean and deep models for more accurate filtering of SNP and INDEL variant callsSam Friedman, Laura Gauthier, Yossi Farjoun, et al.
Nature Communications|July 31, 2020
Detecting sample swaps in diverse NGS data types using linkage disequilibriumNauman Javed, Yossi Farjoun, Tim J Fennell, et al.
Nature Methods|July 18, 2018
A synthetic-diploid benchmark for accurate variant-calling evaluationHeng Li, Jonathan M Bloom, Yossi Farjoun, et al.
Human Genetics|April 3, 2023
Predicting ExWAS findings from GWAS data: a shorter path to causal genesKevin Y H Liang, Yossi Farjoun, Vincenzo Forgetta, et al.
Nature Communications|October 4, 2023
Alternative splicing in lung influences COVID-19 severity and respiratory diseasesTomoko Nakanishi, Julian Willett, Yossi Farjoun, et al.
Communications Biology|December 9, 2020
A validated lineage-derived somatic truth data set enables benchmarking in cancer genome analysisMegan Shand, Jose Soto, Lee Lichtenstein, et al.
Human Genetics|August 28, 2023
Colocalization of expression transcripts with COVID-19 outcomes is rare across cell states, cell types and organsJulian Daniel Sunday Willett, Tianyuan Lu, Tomoko Nakanishi, et al.
Pageof 4