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[E-MTAB-599] Mouse Transcriptome

GSE30617 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2011/07/14 Platform GPL9250
At a glance

RNA-seq (gene expression) · mouse · 36 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
36 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Sequencing the transcriptome of DBAxC57BL/6J mice. To study the regulation of transcription, splicing and RNA turnover we have sequenced the transcriptomes of tissues collected DBAxC57BL/6J mice. We strongly encourage researchers to contact us if there is any queries about referencing or publishing analysis based on pre-publication data.
Read the full summary ↓
This data is part of a pre-publication release. For information on use of the data and the data release policy please see: http://www.sanger.ac.uk/resources/mouse/genomes/datarelease.html ArrayExpress Release Date: 2011-04-09 Publication Title: Sequence variation amongst 17 classical and wild-derived mouse genomes and its effect on gene regulation and phenotypic variation. Publication Author List: Thomas M. Keane, Petr Daneck, Leo Goodstadt, Bret Payseur, Michael White, Kim Wong, Binnaz Yalcin, Andreas Heger, Avi Agam, Guy Slater, Martin Goodson, Nick Furotte, Eleazar Eskin, Christoffer Nellaker, Helen Whitley, James Cleak, Deborah Janowitz, Polinka Hernandez-Pliego, Amartjit Bhomra, Jerome Nicod, Xiangchao Gan, Wei Yuan, Louise van der Weyden, Sendu Bala, Allan Bradley, Jim Stalker, Richard Mott, Richard Durbin, Ian Jackson, Laura Reinholdt, Chris P. Ponting, Ewan Birney, Jonathan Flint, David J. Adams Person Roles: submitter Person Last Name: Service Person First Name: Submission Person Mid Initials: Person Email: [email protected] Person Phone: Person Address: The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, United Kingdom Person Affiliation: Wellcome Trust Sanger Institute Person Roles: project owner Person Last Name: Adams Person First Name: David Person Mid Initials: Person Email: [email protected] Person Phone: Person Address: The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, United Kingdom Person Affiliation: Wellcome Trust Sanger Institute
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE30617_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA144529 and SRA study ERP000591. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 36 more — browse all 36 samples with per-sample file links →

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