Literature DB >> 18712319

Constructing computational pipelines.

Mark Halling-Brown1, Adrian J Shepherd.   

Abstract

Many bioinformatics tasks involve creating a computational pipeline from existing software components and algorithms. The traditional approach is to glue components together using scripts written in a programming language such as Perl. However, a new, more powerful approach is emerging that promises to revolutionise the way bioinformaticians create applications from existing components, an approach based on the concept of the scientific workflow. Scientific workflows are created in graphical environments known as workflow management systems. They have many benefits over traditional program scripts, including speed of development, portability, and their suitability for developing complex, distributed applications. This chapter explains how to design and implement bioinformatics workflows using free, Open Source software tools, such as the Taverna workflow management system. We also demonstrate how new and existing tools can be deployed as Web services so that they can be easily integrated into novel computational pipelines using the scientific workflow paradigm.

Mesh:

Year:  2008        PMID: 18712319     DOI: 10.1007/978-1-60327-429-6_24

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  Knowledge-based expert systems and a proof-of-concept case study for multiple sequence alignment construction and analysis.

Authors:  Mohamed Radhouene Aniba; Sophie Siguenza; Anne Friedrich; Frédéric Plewniak; Olivier Poch; Aron Marchler-Bauer; Julie Dawn Thompson
Journal:  Brief Bioinform       Date:  2008-10-29       Impact factor: 11.622

2.  A lightweight, flow-based toolkit for parallel and distributed bioinformatics pipelines.

Authors:  Marcin Cieślik; Cameron Mura
Journal:  BMC Bioinformatics       Date:  2011-02-25       Impact factor: 3.307

3.  A quick guide for developing effective bioinformatics programming skills.

Authors:  Joel T Dudley; Atul J Butte
Journal:  PLoS Comput Biol       Date:  2009-12-24       Impact factor: 4.475

4.  Workflows for microarray data processing in the Kepler environment.

Authors:  Thomas Stropp; Timothy McPhillips; Bertram Ludäscher; Mark Bieda
Journal:  BMC Bioinformatics       Date:  2012-05-17       Impact factor: 3.169

5.  A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus.

Authors:  Mosaab Daoud
Journal:  Genomics Inform       Date:  2020-03-31
  5 in total

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