Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias
Abstract Background Genetic variation for gene expression is a source of phenotypic variation for natural and agricultural species. The common approach to map and to quantify gene expression from genetically distinct individuals is to assign their RNA-seq reads to a single reference genome. However,...
Main Authors: | Shuhua Zhan, Cortland Griswold, Lewis Lukens |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-04-01
|
Series: | BMC Genomics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12864-021-07577-3 |
Similar Items
-
Sex-specific modulation of gene expression networks in murine hypothalamus
by: Khyobeni eMozhui, et al.
Published: (2012-05-01) -
Hypothalamic transcriptomes of 99 mouse strains reveal trans eQTL hotspots, splicing QTLs and novel non-coding genes
by: Yehudit Hasin-Brumshtein, et al.
Published: (2016-09-01) -
Next generation quantitative genetics in plants
by: José M Jiménez-Gómez
Published: (2011-11-01) -
Discovering single-cell eQTLs from scRNA-seq data only
by: Li, H., et al.
Published: (2022) -
scReQTL: an approach to correlate SNVs to gene expression from individual scRNA-seq datasets
by: Hongyu Liu, et al.
Published: (2021-01-01)