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SEPATH: Benchmarking the Search for Pathogens in Human Tissue Whole Genome Sequence Data Leads to Template Pipelines - Analysis Repository

Name: SEPATH: Benchmarking the Search for Pathogens in Human Tissue Whole Genome Sequence Data Leads to Template Pipelines - Analysis Repository
Keywords: 3. Good health

descriptionPublicationkeyboard_double_arrow_right Research , Other literature type 05 Sep 2019 English Publisher:Zenodo

Authors: Abraham Gihawi; Ghanasyam Rallapalli; Rachel Hurst; Colin Cooper; Richard Leggett; Daniel Brewer;

doi: 10.5281/zenodo.3387204 , 10.5281/zenodo.3387205

SEPATH: Benchmarking the Search for Pathogens in Human Tissue Whole Genome Sequence Data Leads to Template Pipelines - Analysis Repository

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Abstract

Funding provided by Big C cancer charity, grant reference: 16-09R. The research presented in this paper was carried out on the High Performance Computing Cluster supported by the Research and Specialist Computing Support service at the University of East Anglia. We acknowledge and thank support received from Big C, Prostate Cancer UK, Cancer Research UK C5047/A14835/A22530/A17528, Bob Champion Cancer Trust, The Masonic Charitable Foundation successor to The Grand Charity, The King Family and the Stephen Hargrave Trust. Please get in touch if anything further is required: a.gihawi@uea.ac.uk Data also present on: https://github.com/UEA-Cancer-Genetics-Lab/sepath_paper

This repository represents a collection of scripts used as part of the analysis of the SEAPTH paper: Gihawi, A. Rallapalli, G. Hurst, R. Cooper, C.S. Leggett, R.M. Brewer, D.S. SEPATH: Benchmarking the Search for Pathogens in Human Tissue Whole Genome Sequence Data Leads to Template Pipelines. Genome Biol. (publication pending) We provide a copy of the github repositories associated with the submitted publication, for further information and recent developments please visit: https://github.com/UEA-Cancer-Genetics-Lab/

Related Organizations

University of East Anglia
United Kingdom
Earlham Institute
United Kingdom

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SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines
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