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Conrad Leonard

Showing results (1-10 of 40) with videos related to

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Bioinformatics (Oxford, England)|April 7, 2023
streammd: fast low-memory duplicate marking using a Bloom filterConrad Leonard
Studies in Health Technology and Informatics|August 10, 2019
Running Genomic Analyses in the CloudConrad Leonard, Scott Wood, Oliver Holmes, et al.
Human Mutation|September 12, 2022
Analysis of hereditary cancer gene variant classifications from ClinVar indicates a need for regular reassessment of clinical assertionsAimee L Davidson, Olga Kondrashova, Conrad Leonard, et al.
Human Mutation|February 18, 2021
Considerations for using population frequency data in germline variant interpretation: Cancer syndrome genes as a modelAimee L Davidson, Conrad Leonard, Lambros T Koufariotis, et al.
Scientific Reports|May 23, 2026
Explainable machine learning identifies features and thresholds predictive of immunotherapy responseKhoa A Tran, Venkateswar Addala, Lambros T Koufariotis, et al.
NPJ Breast Cancer|August 21, 2020
Using whole-genome sequencing data to derive the homologous recombination deficiency scoresXavier M de Luca, Felicity Newell, Stephen H Kazakoff, et al.
Bioinformatics Advances|January 26, 2023
qmotif: determination of telomere content from whole-genome sequence dataOliver Holmes, Katia Nones, Yue Hang Tang, et al.
BMC Medical Genomics|February 6, 2019
Complex structural rearrangements are present in high-grade dysplastic Barrett's oesophagus samplesFelicity Newell, Kalpana Patel, Michael Gartside, et al.
BMC Genomics|September 30, 2024
Performance of somatic structural variant calling in lung cancer using Oxford Nanopore sequencing technologyLingchen Liu, Jia Zhang, Scott Wood, et al.
Plos One|October 11, 2012
qpure: A tool to estimate tumor cellularity from genome-wide single-nucleotide polymorphism profilesSarah Song, Katia Nones, David Miller, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|April 7, 2023
streammd: fast low-memory duplicate marking using a Bloom filterConrad Leonard
Studies in Health Technology and Informatics|August 10, 2019
Running Genomic Analyses in the CloudConrad Leonard, Scott Wood, Oliver Holmes, et al.
Human Mutation|September 12, 2022
Analysis of hereditary cancer gene variant classifications from ClinVar indicates a need for regular reassessment of clinical assertionsAimee L Davidson, Olga Kondrashova, Conrad Leonard, et al.
Human Mutation|February 18, 2021
Considerations for using population frequency data in germline variant interpretation: Cancer syndrome genes as a modelAimee L Davidson, Conrad Leonard, Lambros T Koufariotis, et al.
Scientific Reports|May 23, 2026
Explainable machine learning identifies features and thresholds predictive of immunotherapy responseKhoa A Tran, Venkateswar Addala, Lambros T Koufariotis, et al.
NPJ Breast Cancer|August 21, 2020
Using whole-genome sequencing data to derive the homologous recombination deficiency scoresXavier M de Luca, Felicity Newell, Stephen H Kazakoff, et al.
Bioinformatics Advances|January 26, 2023
qmotif: determination of telomere content from whole-genome sequence dataOliver Holmes, Katia Nones, Yue Hang Tang, et al.
BMC Medical Genomics|February 6, 2019
Complex structural rearrangements are present in high-grade dysplastic Barrett's oesophagus samplesFelicity Newell, Kalpana Patel, Michael Gartside, et al.
BMC Genomics|September 30, 2024
Performance of somatic structural variant calling in lung cancer using Oxford Nanopore sequencing technologyLingchen Liu, Jia Zhang, Scott Wood, et al.
Plos One|October 11, 2012
qpure: A tool to estimate tumor cellularity from genome-wide single-nucleotide polymorphism profilesSarah Song, Katia Nones, David Miller, et al.
Pageof 4