Transcriptomics

Dataset Information

0

Ribo-seq on K562 and HepG2 cells


ABSTRACT: Deep sequencing methods have matured to comprehensively detect the full set of transcribed loci, but there is a gap to determine the function of the resulting highly complex transcriptomes. To this end, we have developed a new approach named ORFquant to annotate and quantify translation at the single open reading frame (ORF) level using Ribo-seq data.

ORGANISM(S): Homo sapiens

PROVIDER: GSE129061 | GEO | 2020/04/26

REPOSITORIES: GEO

Similar Datasets

2023-05-22 | BIOMD0000001067 | BioModels
2017-08-09 | PXD005844 | Pride
2017-08-03 | PXD005901 | Pride
2021-09-09 | PXD022099 | Pride
2012-07-12 | GSE38112 | GEO
2010-12-23 | GSE26238 | GEO
2019-03-04 | GSE122129 | GEO
2021-11-12 | E-MTAB-10805 | biostudies-arrayexpress
2022-12-13 | GSE197909 | GEO
2021-07-05 | E-MTAB-9352 | biostudies-arrayexpress