STEMNET specifications

Information


Unique identifier OMICS_27637
Name STEMNET
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data A single cell gene expression matrix and a vector annotating, for each cell, if the cell is part of a given developmental endpoint or if is an immature cell.
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 0.1
Stability Stable
Maintained Yes

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Versioning


No version available

Maintainer


  • person_outline Lars Velten

Publication for STEMNET

STEMNET citation

library_books

An ontology for major histocompatibility restriction

2016
J Biomed Semantics
PMCID: 4709943
PMID: 26759709
DOI: 10.1186/s13326-016-0045-5

[…] ns comprising MHC complexes, in order to present immunological data in an exact way and to improve the functionality of our website. Our work builds on MaHCO [], an ontology for MHC developed for the StemNet project, using the well-established MHC nomenclature resources of the international ImMunoGeneTics information system (IMGT, http://www.imgt.org) for human data and The Immuno Polymorphism Dat […]

STEMNET institution(s)
European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany; Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany; Division of Stem Cells and Cancer, Haematopoietic Stem Cells and Stress Group, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA; Department of Hematology and Oncology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; German Cancer Consortium (DKTK), Germany; Stanford Genome Technology Center, Palo Alto, CA, USA
STEMNET funding source(s)
Supported by the SFB873 funded by the Deutsche Forschungsgemeinschaft (DFG), the Dietmar Hopp Foundation and the US National Institutes of Health (P01 HG000205).

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