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Eugene Bragin

Showing results (1-10 of 13) with videos related to

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Current Protocols in Human Genetics|January 14, 2012
Interpretation of genomic copy number variants using DECIPHERManuel Corpas, Eugene Bragin, Stephen Clayton, et al.
BMC Bioinformatics|May 13, 2010
Using caching and optimization techniques to improve performance of the Ensembl websiteAnne Parker, Eugene Bragin, Simon Brent, et al.
Journal of Clinical Microbiology|February 25, 2023
Machine-Learning Model for Prediction of Cefepime Susceptibility in Escherichia coli from Whole-Genome Sequencing DataRomney M Humphries, Eugene Bragin, Julian Parkhill, et al.
Journal of Medical Genetics|May 22, 2015
Potential research participants support the return of raw sequence dataAnna Middleton, Caroline F Wright, Katherine I Morley, et al.
European Journal of Human Genetics : EJHG|April 30, 2015
Attitudes of nearly 7000 health professionals, genomic researchers and publics toward the return of incidental results from sequencing researchAnna Middleton, Katherine I Morley, Eugene Bragin, et al.
Microbial Genomics|April 2, 2020
Defining metrics for whole-genome sequence analysis of MRSA in clinical practiceKathy E Raven, Beth Blane, Narender Kumar, et al.
Nucleic Acids Research|October 24, 2013
DECIPHER: database for the interpretation of phenotype-linked plausibly pathogenic sequence and copy-number variationEugene Bragin, Eleni A Chatzimichali, Caroline F Wright, et al.
The Journal of Antimicrobial Chemotherapy|February 7, 2020
Evaluation of a fully automated bioinformatics tool to predict antibiotic resistance from MRSA genomesNarender Kumar, Kathy E Raven, Beth Blane, et al.
Human Molecular Genetics|September 11, 2012
DECIPHER: web-based, community resource for clinical interpretation of rare variants in developmental disordersGanesh J Swaminathan, Eugene Bragin, Eleni A Chatzimichali, et al.
Journal of Clinical Microbiology|August 30, 2019
Pilot Evaluation of a Fully Automated Bioinformatics System for Analysis of Methicillin-Resistant Staphylococcus aureus Genomes and Detection of OutbreaksNicholas M Brown, Beth Blane, Kathy E Raven, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Current Protocols in Human Genetics|January 14, 2012
Interpretation of genomic copy number variants using DECIPHERManuel Corpas, Eugene Bragin, Stephen Clayton, et al.
BMC Bioinformatics|May 13, 2010
Using caching and optimization techniques to improve performance of the Ensembl websiteAnne Parker, Eugene Bragin, Simon Brent, et al.
Journal of Clinical Microbiology|February 25, 2023
Machine-Learning Model for Prediction of Cefepime Susceptibility in Escherichia coli from Whole-Genome Sequencing DataRomney M Humphries, Eugene Bragin, Julian Parkhill, et al.
Journal of Medical Genetics|May 22, 2015
Potential research participants support the return of raw sequence dataAnna Middleton, Caroline F Wright, Katherine I Morley, et al.
European Journal of Human Genetics : EJHG|April 30, 2015
Attitudes of nearly 7000 health professionals, genomic researchers and publics toward the return of incidental results from sequencing researchAnna Middleton, Katherine I Morley, Eugene Bragin, et al.
Microbial Genomics|April 2, 2020
Defining metrics for whole-genome sequence analysis of MRSA in clinical practiceKathy E Raven, Beth Blane, Narender Kumar, et al.
Nucleic Acids Research|October 24, 2013
DECIPHER: database for the interpretation of phenotype-linked plausibly pathogenic sequence and copy-number variationEugene Bragin, Eleni A Chatzimichali, Caroline F Wright, et al.
The Journal of Antimicrobial Chemotherapy|February 7, 2020
Evaluation of a fully automated bioinformatics tool to predict antibiotic resistance from MRSA genomesNarender Kumar, Kathy E Raven, Beth Blane, et al.
Human Molecular Genetics|September 11, 2012
DECIPHER: web-based, community resource for clinical interpretation of rare variants in developmental disordersGanesh J Swaminathan, Eugene Bragin, Eleni A Chatzimichali, et al.
Journal of Clinical Microbiology|August 30, 2019
Pilot Evaluation of a Fully Automated Bioinformatics System for Analysis of Methicillin-Resistant Staphylococcus aureus Genomes and Detection of OutbreaksNicholas M Brown, Beth Blane, Kathy E Raven, et al.
Pageof 2