Experiences with workflows for automating data-intensive bioinformatics. - Wikidata - wikimedia - TriplyDB

Experiences with workflows for automating data-intensive bioinformatics.

Experiences with workflows for automating data-intensive bioinformatics.

http://www.wikidata.org/entity/Q30987801

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Recommendations on e-infrastructures for next-generation sequencing Forecasting Ecological Genomics: High-Tech Animal Instrumentation Meets High-Throughput Sequencing.A review of bioinformatic pipeline frameworks Towards agile large-scale predictive modelling in drug discovery with flow-based programming design principles Kronos: a workflow assembler for genome analytics and informatics.YAMP: a containerized workflow enabling reproducibility in metagenomics research.Robust Cross-Platform Workflows: How Technical and Scientific Communities Collaborate to Develop, Test and Share Best Practices for Data Analysis

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P2860

Experiences with workflows for automating data-intensive bioinformatics.

http://www.wikidata.org/entity/Q30987801

description

2015 nî lūn-bûn

@nan

2015 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի օգոստոսին հրատարակված գիտական հոդված

@hy

2015年の論文

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2015年論文

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2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

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2015年論文

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2015年论文

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name

Experiences with workflows for automating data-intensive bioinformatics.

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Experiences with workflows for automating data-intensive bioinformatics.

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type

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Experiences with workflows for automating data-intensive bioinformatics.

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Experiences with workflows for automating data-intensive bioinformatics.

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Experiences with workflows for automating data-intensive bioinformatics.

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Experiences with workflows for automating data-intensive bioinformatics.

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Experiences with workflows for automating data-intensive bioinformatics.

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Alexey Siretskiy

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David P Kreil

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Eija Korpelainen

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Guillermo Carrasco Hernández

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Maciej M Kańduła

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Mario Giovacchini

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Milko Krachunov

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Roman Valls Guimera

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Sebastian Schönherr

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P2860

Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences

Chipster: user-friendly analysis software for microarray and other high-throughput data

The Cancer Genome Atlas Pan-Cancer analysis project

The case for cloud computing in genome informatics

Taverna: a tool for the composition and enactment of bioinformatics workflows

Galaxy: a web-based genome analysis tool for experimentalists

Low-pass DNA sequencing of 1200 Sardinians reconstructs European Y-chromosome phylogeny

Galaxy CloudMan: delivering cloud compute clusters

Galaxy: a platform for interactive large-scale genome analysis.

HTSeq--a Python framework to work with high-throughput sequencing data

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Erik Bongcam-Rudloff

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