arrow
Return

Quantifying reference alignment bias in functional genomics analyses

delete2026-05-14
delete0
delete
OA
AI
N
Nina Tekkey
J
John Garza
W
Wenjin Zhang
D
Derek Albracht
C
Chad Tomlinson
E
Edward A. Belter
X
Xiaoyun Xing
J
Juan F Macias-Velasco *
T
Ting Wang *
DOI:10.1016/j.crmeth.2026.101461delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
• We provide a method for quantifying reference alignment bias in a genome-wide manner • 0.2%–3% of the genome is susceptible to bias when using human reference hg38 • Bias persists even with the use of the complete human reference CHM13 • Genome-wide quantification highlights problematic regions of RAB
Keywords:
functional genomics
genomics
genetics
RNA-seq
ATAC-seq
WGBS
CP: genetics
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Cell Reports Methods cover
Cell Reports Methods
IF:
4.5
Papers:
921
Citations:
2.0K

Organization

 
 washington university
Scholars:
508
Papers: 164
Citations: 0