Open AccessGap statistics for whole genome shotgun DNA sequencing projects
Author(s) -
Michael C. Wendl,
ShiawPyng Yang
Publication year - 2004
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/bth120
Subject(s) - shotgun sequencing , genome , shotgun , artifact (error) , statistics , biology , computational biology , computer science , construct (python library) , sequence (biology) , econometrics , genetics , mathematics , artificial intelligence , gene , programming language
Investigators utilize gap estimates for DNA sequencing projects. Standard theories assume sequences are independently and identically distributed, leading to appreciable under-prediction of gaps.
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