Resultados de procura - Rachel Karchin

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  1. 1
    Next generation tools for the annotation of human SNPs

    Next generation tools for the annotation of human SNPs por Rachel Karchin

    Publicado 2009
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  2. 2
    Using bioinformatics to predict the functional impact of SNVs

    Using bioinformatics to predict the functional impact of SNVs por Melissa Cline, Rachel Karchin

    Publicado 2010
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  3. 3
    CHASMplus Reveals the Scope of Somatic Missense Mutations Driving Human Cancers

    CHASMplus Reveals the Scope of Somatic Missense Mutations Driving Human Cancers por Collin Tokheim, Rachel Karchin

    Publicado 2019
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  4. 4
    Correlation of Somatic Mutation and Expression Identifies Genes Important in Human Glioblastoma Progression and Survival

    Correlation of Somatic Mutation and Expression Identifies Genes Important in Human Glioblastoma Progression and Survival por David L. Masica, Rachel Karchin

    Publicado 2011
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  5. 5
    Towards Increasing the Clinical Relevance of In Silico Methods to Predict Pathogenic Missense Variants

    Towards Increasing the Clinical Relevance of In Silico Methods to Predict Pathogenic Missense Variants por David L. Masica, Rachel Karchin

    Publicado 2016
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  6. 6
    Discriminative prediction of mammalian enhancers from DNA sequence

    Discriminative prediction of mammalian enhancers from DNA sequence por Dongwon Lee, Rachel Karchin, M Beer

    Publicado 2011
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  7. 7
    Classifying G-protein coupled receptors with support vector machines

    Classifying G-protein coupled receptors with support vector machines por Rachel Karchin, Kevin Karplus, David Haussler

    Publicado 2002
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  8. 8
    Integrating diverse genomic data using gene sets

    Integrating diverse genomic data using gene sets por Svitlana Tyekucheva, Luigi Marchionni, Rachel Karchin, Giovanni Parmigiani

    Publicado 2011
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  9. 9
    Prioritization of driver mutations in pancreatic cancer using cancer-specific high-throughput annotation of somatic mutations (CHASM)

    Prioritization of driver mutations in pancreatic cancer using cancer-specific high-throughput annotation of somatic mutations (CHASM) por Hannah Carter, Josue Samayoa, Ralph H. Hruban, Rachel Karchin

    Publicado 2010
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  10. 10
    LS-SNP/PDB: annotated non-synonymous SNPs mapped to Protein Data Bank structures

    LS-SNP/PDB: annotated non-synonymous SNPs mapped to Protein Data Bank structures por Michaël Ryan, Mark Diekhans, Stephanie Lien, Yun Liu, Rachel Karchin

    Publicado 2009
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  11. 11
    SubClonal Hierarchy Inference from Somatic Mutations: Automatic Reconstruction of Cancer Evolutionary Trees from Multi-region Next Generation Sequencing

    SubClonal Hierarchy Inference from Somatic Mutations: Automatic Reconstruction of Cancer Evolutionary Trees from Multi-region Next Generation Sequencing por Noushin Niknafs, Violeta Beleva‐Guthrie, Daniel Q. Naiman, Rachel Karchin

    Publicado 2015
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  12. 12
    Evaluating the evaluation of cancer driver genes

    Evaluating the evaluation of cancer driver genes por Collin Tokheim, Nickolas Papadopoulos, Kenneth W. Kinzler, Bert Vogelstein, Rachel Karchin

    Publicado 2016
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  13. 13
    Identifying Mendelian disease genes with the Variant Effect Scoring Tool

    Identifying Mendelian disease genes with the Variant Effect Scoring Tool por Hannah Carter, Christopher Douville, Peter D. Stenson, D.N. Cooper, Rachel Karchin

    Publicado 2013
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  14. 14
    CHASM and SNVBox: toolkit for detecting biologically important single nucleotide mutations in cancer

    CHASM and SNVBox: toolkit for detecting biologically important single nucleotide mutations in cancer por Wing Chung Wong, Dewey Kim, Hannah Carter, Mark Diekhans, Michaël Ryan, Rachel Karchin

    Publicado 2011
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  15. 15
    Evaluation of machine learning methods to predict peptide binding to MHC Class I proteins

    Evaluation of machine learning methods to predict peptide binding to MHC Class I proteins por Rohit Bhattacharya, Ashok Sivakumar, Collin Tokheim, Violeta Beleva Guthrie, Valsamo Anagnostou, Victor E. Velculescu, Rachel Karchin

    Publicado 2017
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  16. 16
    Proteins linked to autosomal dominant and autosomal recessive disorders harbor characteristic rare missense mutation distribution patterns

    Proteins linked to autosomal dominant and autosomal recessive disorders harbor characteristic rare missense mutation distribution patterns por Tychele N. Turner, Christopher Douville, Dewey Kim, Peter D. Stenson, D.N. Cooper, Aravinda Chakravarti, Rachel Karchin

    Publicado 2015
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  17. 17
    Integrated Informatics Analysis of Cancer-Related Variants

    Integrated Informatics Analysis of Cancer-Related Variants por Kymberleigh A. Pagel, Rick Kim, Kyle Moad, Ben Busby, Lily Zheng, Collin Tokheim, Michaël Ryan, Rachel Karchin

    Publicado 2020
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  18. 18
    Deep neural networks predict class I major histocompatibility complex epitope presentation and transfer learn neoepitope immunogenicity

    Deep neural networks predict class I major histocompatibility complex epitope presentation and transfer learn neoepitope immunogenicity por Benjamin Alexander Albert, Yunxiao Yang, Xiaoshan M. Shao, Dipika Singh, Kellie N. Smith, Valsamo Anagnostou, Rachel Karchin

    Publicado 2023
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  19. 19
    Cancer-Specific High-Throughput Annotation of Somatic Mutations: Computational Prediction of Driver Missense Mutations

    Cancer-Specific High-Throughput Annotation of Somatic Mutations: Computational Prediction of Driver Missense Mutations por Hannah Carter, Sining Chen, Leyla Işık, Svitlana Tyekucheva, Victor E. Velculescu, Kenneth W. Kinzler, Bert Vogelstein, Rachel Karchin

    Publicado 2009
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  20. 20
    Exome-Scale Discovery of Hotspot Mutation Regions in Human Cancer Using 3D Protein Structure

    Exome-Scale Discovery of Hotspot Mutation Regions in Human Cancer Using 3D Protein Structure por Collin Tokheim, Rohit Bhattacharya, Noushin Niknafs, Derek M. Gygax, Rick Kim, Michael T. Ryan, David L. Masica, Rachel Karchin

    Publicado 2016
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