Identifying Recurrent Mutations from Unphased Population-Level Sequencing Data

被引:0
|
作者
Johnson, K. E. [1 ]
Voight, B. F. [2 ,3 ,4 ]
机构
[1] Univ Penn, Perelman Sch Med, Genet & Epigenet Grad Grp, Philadelphia, PA 19104 USA
[2] Univ Penn, Perelman Sch Med, Dept Syst Pharmacol & Translat Therapeut, Philadelphia, PA 19104 USA
[3] Univ Penn, Perelman Sch Med, Dept Genet, Philadelphia, PA 19104 USA
[4] Univ Penn, Perelman Sch Med, Inst Translat Med & Therapeut, Philadelphia, PA 19104 USA
关键词
D O I
暂无
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
10
引用
收藏
页码:44 / 44
页数:1
相关论文
共 50 条
  • [1] muCNV: genotyping structural variants for population-level sequencing
    Jun, Goo
    Sedlazeck, Fritz
    Zhu, Qihui
    English, Adam
    Metcalf, Ginger
    Kang, Hyun Min
    Lee, Charles
    Gibbs, Richard
    Boerwinkle, Eric
    BIOINFORMATICS, 2021, 37 (14) : 2055 - 2057
  • [2] Learning Population-Level Diffusions with Generative Recurrent Networks
    Hashimoto, Tatsunori B.
    Gifford, David K.
    Jaakkola, Tommi S.
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 48, 2016, 48
  • [3] A population-level statistic for assessing Mendelian behavior of genotyping-by-sequencing data from highly duplicated genomes
    Lindsay V. Clark
    Wittney Mays
    Alexander E. Lipka
    Erik J. Sacks
    BMC Bioinformatics, 23
  • [4] A population-level statistic for assessing Mendelian behavior of genotyping-by-sequencing data from highly duplicated genomes
    Clark, Lindsay, V
    Mays, Wittney
    Lipka, Alexander E.
    Sacks, Erik J.
    BMC BIOINFORMATICS, 2022, 23 (01)
  • [5] Genome-Wide Estimation of Linkage Disequilibrium from Population-Level High-Throughput Sequencing Data
    Maruki, Takahiro
    Lynch, Michael
    GENETICS, 2014, 197 (04) : 1303 - U421
  • [6] Phytophthora genomics: Identifying new markers for population-level studies
    Blair, J. E.
    PHYTOPATHOLOGY, 2008, 98 (06) : S23 - S23
  • [7] Racial Representation Disparity of Population-Level Genomic Sequencing Efforts
    Kim, Isaac E., Jr.
    Sarkar, Indra Neil
    MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 974 - 978
  • [8] Inferring population-level contact heterogeneity from common epidemic data
    Stack, J. Conrad
    Bansal, Shweta
    Kumar, V. S. Anil
    Grenfell, Bryan
    JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2013, 10 (78)
  • [9] Identifying driver mutations from sequencing data of heterogeneous tumors in the era of personalized genome sequencing
    Zhang, Jing
    Liu, Jie
    Sun, Jianbo
    Chen, Chen
    Foltz, Gregory
    Lin, Biaoyang
    BRIEFINGS IN BIOINFORMATICS, 2014, 15 (02) : 244 - 255
  • [10] Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims Data
    Jenna M. Reps
    Peter R. Rijnbeek
    Patrick B. Ryan
    Drug Safety, 2019, 42 : 1377 - 1386