Open AccessFulcrum: condensing redundant reads from high-throughput sequencing studies
Author(s) -
Matthew S. Burriesci,
Erik Lehnert,
John R. Pringle
Publication year - 2012
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/bts123
Subject(s) - computer science , python (programming language) , mit license , scalability , software , source code , contig , data mining , operating system , biology , genome , genetics , gene
Ultra-high-throughput sequencing produces duplicate and near-duplicate reads, which can consume computational resources in downstream applications. A tool that collapses such reads should reduce storage and assembly complications and costs.
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