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M Danos

Showing results (51-60 of 60) with videos related to

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Cancer Discovery|October 4, 2024
A New Era of Data-Driven Cancer Research and Care: Opportunities and ChallengesFelicia Gomez, Arpad M Danos, Guilherme Del Fiol, et al.
JCO Clinical Cancer Informatics|October 17, 2019
Open-Sourced CIViC Annotation Pipeline to Identify and Annotate Clinically Relevant Variants Using Single-Molecule Molecular Inversion ProbesErica K Barnell, Adam Waalkes, Matt C Mosior, et al.
Human Mutation|April 27, 2022
Large scale genotype- and phenotype-driven machine learning in Von Hippel-Lindau diseaseAndreea Chiorean, Kirsten M Farncombe, Sean Delong, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|October 6, 2018
Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samplesErica K Barnell, Peter Ronning, Katie M Campbell, et al.
Genome Medicine|November 30, 2019
Standard operating procedure for curation and clinical interpretation of variants in cancerArpad M Danos, Kilannin Krysiak, Erica K Barnell, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|September 5, 2022
Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): Joint recommendations of Clinical Genome Resource (ClinGen), Cancer Genomics Consortium (CGC), and Variant Interpretation for Cancer Consortium (VICC)Peter Horak, Malachi Griffith, Arpad M Danos, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|February 1, 2022
Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): Joint recommendations of Clinical Genome Resource (ClinGen), Cancer Genomics Consortium (CGC), and Variant Interpretation for Cancer Consortium (VICC)Peter Horak, Malachi Griffith, Arpad M Danos, et al.
Nature Genetics|February 1, 2017
CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancerMalachi Griffith, Nicholas C Spies, Kilannin Krysiak, et al.
Nature Cancer|May 27, 2022
A community approach to the cancer-variant-interpretation bottleneckKilannin Krysiak, Arpad M Danos, Susanna Kiwala, et al.
Nucleic Acids Research|November 14, 2022
CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebaseKilannin Krysiak, Arpad M Danos, Jason Saliba, et al.
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Showing results (51-60 of 60) with videos related to

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Pageof 6
You have reached the last page of results.This site can display upto 60 results.
Cancer Discovery|October 4, 2024
A New Era of Data-Driven Cancer Research and Care: Opportunities and ChallengesFelicia Gomez, Arpad M Danos, Guilherme Del Fiol, et al.
JCO Clinical Cancer Informatics|October 17, 2019
Open-Sourced CIViC Annotation Pipeline to Identify and Annotate Clinically Relevant Variants Using Single-Molecule Molecular Inversion ProbesErica K Barnell, Adam Waalkes, Matt C Mosior, et al.
Human Mutation|April 27, 2022
Large scale genotype- and phenotype-driven machine learning in Von Hippel-Lindau diseaseAndreea Chiorean, Kirsten M Farncombe, Sean Delong, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|October 6, 2018
Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samplesErica K Barnell, Peter Ronning, Katie M Campbell, et al.
Genome Medicine|November 30, 2019
Standard operating procedure for curation and clinical interpretation of variants in cancerArpad M Danos, Kilannin Krysiak, Erica K Barnell, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|September 5, 2022
Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): Joint recommendations of Clinical Genome Resource (ClinGen), Cancer Genomics Consortium (CGC), and Variant Interpretation for Cancer Consortium (VICC)Peter Horak, Malachi Griffith, Arpad M Danos, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|February 1, 2022
Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): Joint recommendations of Clinical Genome Resource (ClinGen), Cancer Genomics Consortium (CGC), and Variant Interpretation for Cancer Consortium (VICC)Peter Horak, Malachi Griffith, Arpad M Danos, et al.
Nature Genetics|February 1, 2017
CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancerMalachi Griffith, Nicholas C Spies, Kilannin Krysiak, et al.
Nature Cancer|May 27, 2022
A community approach to the cancer-variant-interpretation bottleneckKilannin Krysiak, Arpad M Danos, Susanna Kiwala, et al.
Nucleic Acids Research|November 14, 2022
CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebaseKilannin Krysiak, Arpad M Danos, Jason Saliba, et al.
Pageof 6