Open AccessFast numerical optimization for genome sequencing data in population biobanks
Author(s) -
Ruilin Li,
Christopher Chang,
Yosuke Tanigawa,
Balasubramanian Narasimhan,
Trevor Hastie,
Robert Tibshirani,
Manuel A. Rivas
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab452
Subject(s) - biobank , computer science , population , genome , dna sequencing , computational biology , biology , genetics , dna , gene , medicine , environmental health
Large-scale and high-dimensional genome sequencing data poses computational challenges. General-purpose optimization tools are usually not optimal in terms of computational and memory performance for genetic data.