Title: Training material for de novo transcriptome reconstruction from RNA-seq data

Type Dataset Freeberg, Mallory, Heydarian, Mohammad (2017): Training material for de novo transcriptome reconstruction from RNA-seq data. Zenodo. Dataset. https://zenodo.org/record/254485

Authors: Freeberg, Mallory (Johns Hopkins University) ; Heydarian, Mohammad (Johns Hopkins University) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

The data provided here are part of a Galaxy tutorial that analyzes RNA-seq data from a study published by Wu et al., 2014 (DOI:10.1101/gr.164830.113). The goal of this study was to investigate "the dynamics of occupancy and the role in gene regulation of the transcription factor Tal1, a critical regulator of hematopoiesis, at multiple stages of hematopoietic differentiation." To this end, RNA-seq libraries were constructed from multiple mouse cell types including G1E - a GATA-null immortalized cell line derived from targeted disruption of GATA-1 in mouse embryonic stem cells - and megakaryocytes. This RNA-seq data was used to determine differential gene expression between G1E and megakaryocytes and later correlated with Tal1 occupancy. This dataset (GEO Accession: GSE51338) consists of biological replicate, paired-end, polyA selected RNA-seq libraries. Because of the long processing time for the large original files, we have downsampled the original raw data files to include only reads that align to chromosome 19 and a subset of interesting genomic loci identified by Wu et al.

More information

• DOI: 10.5281/zenodo.254485

Subjects

• RNA-seq, Megakaryocytes, Mouse, Haematopoiesis, Gata1-erythroid progenitor

Dates

• Publication date: 2017
• Issued: January 20, 2017

Notes

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

Relateditems