z-logo
open-access-imgOpen Access
Fast and accurate read alignment for resequencing
Author(s) -
John C. Mu,
Hui Jiang,
Amirhossein Kiani,
Marghoob Mohiyuddin,
Narges Bani Asadi,
Wing Hung Wong
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/bts450
Subject(s) - computer science , indel , workflow , task (project management) , reference genome , alignment free sequence analysis , key (lock) , sequence (biology) , sequence alignment , multiple sequence alignment , dna sequencing , data mining , operating system , genetics , biology , database , gene , management , peptide sequence , genotype , single nucleotide polymorphism , economics
Next-generation sequence analysis has become an important task both in laboratory and clinical settings. A key stage in the majority sequence analysis workflows, such as resequencing, is the alignment of genomic reads to a reference genome. The accurate alignment of reads with large indels is a computationally challenging task for researchers.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom