Open AccessIs reliance on an inaccurate genome sequence sabotaging your experiments?
Author(s) -
Rodrigo P. Baptista,
Jessica C. Kissinger
Publication year - 2019
Publication title -
plos pathogens
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.719
H-Index - 206
eISSN - 1553-7374
pISSN - 1553-7366
DOI - 10.1371/journal.ppat.1007901
Subject(s) - annotation , computer science , sequence (biology) , genome , genomics , process (computing) , computational biology , whole genome sequencing , genome project , data science , artificial intelligence , biology , genetics , programming language , gene
Advances in genomics have made whole genome studies increasingly feasible across the life sciences. However, new technologies and algorithmic advances do not guarantee flawless genomic sequences or annotation. Bias, errors, and artifacts can enter at any stage of the process from library preparation to annotation. When planning an experiment that utilizes a genome sequence as the basis for the design, there are a few basic checks that, if performed, may better inform the experimental design and ideally help avoid a failed experiment or inconclusive result.