research data . Dataset . 2018

Training material for single-cell RNA-seq data analysis (Galaxy Training Network tutorial)

Tekman, Mehmet;
  • Published: 15 Aug 2018
  • Publisher: Figshare
Abstract
<p>The data provided here is part of the Galaxy Training Network tutorial that analyses single-cell RNA-seq data (scRNA) using cell barcodes and data from Freiburg MPI Grün Lab. This dataset (GEO Accession: <strong>GSM2668223</strong>) consists of paired-end data from the bone marrow of a 5-week old male C57 mouse, downsampled to facilitate ease-of-processing during live demonstration.</p> <p> </p> <p>Test data for understanding cell and UMI barcoding is also provided for demonstration purposes.</p> <p> </p> <p>The Plate/Batch datasets were generated from scripts.</p>
Subjects
free text keywords: Cell Biology, Genetics, Molecular Biology, Immunology, Developmental Biology, Cancer, Hematology, Plant Biology, 69999 Biological Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified, single-cell RNA-seq, scRNA, Mus Musculus, Training Data, mm10, celseq2, Biophysics, Biochemistry, Evolutionary Biology
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Zenodo
Dataset . 2018
Provider: Zenodo
Zenodo
Dataset . 2018
Provider: Datacite
figshare
Dataset . 2018
Provider: figshare
figshare
Dataset . 2018
Provider: figshare
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research data . Dataset . 2018

Training material for single-cell RNA-seq data analysis (Galaxy Training Network tutorial)

Tekman, Mehmet;