eQTLseq statistics

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eQTLseq specifications

Information


Unique identifier OMICS_18849
Name eQTLseq
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages Python
License MIT License
Computer skills Advanced
Stability Stable
Source code URL https://codeload.github.com/dvav/eQTLseq/tar.gz/v2017.5.28
Maintained Yes

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Maintainer


  • person_outline Dimitrios Vavoulis

Publication for eQTLseq

eQTLseq citation

call_split

Hierarchical probabilistic models for multiple gene/variant associations based on next generation sequencing data

2017
Bioinformatics
PMCID: 5637939
PMID: 28575251
DOI: 10.1093/bioinformatics/btx355
call_split See protocol

[…] Below, we briefly describe the main elements of the proposed models. A detailed mathematical treatise and associated inference methods is given in the . eQTLseq () implements a number of hierarchical probabilistic models, which represent gene expression as a function of genetic variation []. Three of these models (Binomial or bin, Negative Binomial or […]


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eQTLseq institution(s)
The Nuffield Division of Clinical Laboratory Sciences, University of Oxford, Oxford, UK; The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; National Health Service Translational Molecular Diagnostics Centre, Oxford University Hospitals, John Radcliffe Hospital, Oxford, UK; National Institute for Health Research Oxford Biomedical Research Centre, Oxford, UK; Department of Oncology, University of Oxford, Oxford, UK
eQTLseq funding source(s)
Supported by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre Program, and the Wellcome Trust Centre for Human Genetics Wellcome Trust Core Award Grant Number 090532/Z/09/Z.

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