2024
DOI: 10.3390/ani14202941
|View full text |Cite
|
Sign up to set email alerts
|

SNP-Based and Kmer-Based eQTL Analysis Using Transcriptome Data

Mei Ge,
Chenyu Li,
Zhiyan Zhang

Abstract: Traditional expression quantitative trait locus (eQTL) mapping associates single nucleotide polymorphisms (SNPs) with gene expression, where the SNPs are derived from large-scale whole-genome sequencing (WGS) data or transcriptome data. While WGS provides a high SNP density, it also incurs substantial sequencing costs. In contrast, RNA-seq data, which are more accessible and less expensive, can simultaneously yield gene expressions and SNPs. Thus, eQTL analysis based on RNA-seq offers significant potential app… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 50 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?