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Open Source Software in Life Science Research
 
 

Open Source Software in Life Science Research, 1st Edition

Practical Solutions to Common Challenges in the Pharmaceutical Industry and Beyond

 
Open Source Software in Life Science Research, 1st Edition,L Harland,M Forster,ISBN9781907568978
 
 
 

Harland   &   Forster   

Woodhead Publishing

9781907568978

9781908818249

582

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Hardcover

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USD 290.00

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Key Features

  • Discusses a broad range of applications from a variety of sectors
  • Provides a unique perspective on work normally performed behind closed doors
  • Highlights the criteria used to compare and assess different approaches to solving problems

Description

The free/open source approach has grown from a minor activity to become a significant producer of robust, task-orientated software for a wide variety of situations and applications. To life science informatics groups, these systems present an appealing proposition - high quality software at a very attractive price. Open source software in life science research considers how industry and applied research groups have embraced these resources, discussing practical implementations that address real-world business problems.

The book is divided into four parts. Part one looks at laboratory data management and chemical informatics, covering software such as Bioclipse, OpenTox, ImageJ and KNIME. In part two, the focus turns to genomics and bioinformatics tools, with chapters examining GenomicsTools and EBI Atlas software, as well as the practicalities of setting up an ‘omics’ platform and managing large volumes of data. Chapters in part three examine information and knowledge management, covering a range of topics including software for web-based collaboration, open source search and visualisation technologies for scientific business applications, and specific software such as DesignTracker and Utopia Documents. Part four looks at semantic technologies such as Semantic MediaWiki, TripleMap and Chem2Bio2RDF, before part five examines clinical analytics, and validation and regulatory compliance of free/open source software. Finally, the book concludes by looking at future perspectives and the economics and free/open source software in industry.

L Harland

Lee Harland is currently leading the information engineering group at Pfizer - a group tasked with developing cutting edge software that helps scientists use internal and external information more effectively. He is also leading member of the pharma-industry pre-competitive group, the Pistoia Alliance, and has 13 years’ experience in bioinformatics, software development and information science within major Pharma.

Affiliations and Expertise

Pfizer

M Forster

Mark Forster is currently a senior information domain specialist within the Syngenta R&D Information Systems (RDIS) group, supporting R&D scientists in the fields of small molecule discovery and development, plant breeding and biotechnology. He has 15 years of industrial experience in scientific software development, deployment and support in the US and the UK.

Affiliations and Expertise

Syngenta, UK

Open Source Software in Life Science Research, 1st Edition

Building research data handling systems with open source tools; Interactive predictive toxicology with Bioclipse and OpenTox; Utilizing open source software to facilitate communication of chemistry at RSC; Open source software for mass spectrometry and metabolomics; Open source software for image processing and analysis: Picture this with ImageJ; Integrated data analysis with KNIME; Investigation-Study-Assay, a toolkit for standardizing data capture and sharing; GenomicTools: An open source platform for developing high-throughput analytics in genomics; Creating an in-house ’omics data portal using EBI Atlas software; Setting up an ’omics platform in a small biotech; Squeezing big data into a small organisation; Design Tracker: An easy to use and flexible hypothesis tracking system to aid project team working; Free and open source software for web-based collaboration; Developing scientific business applications using open source search and visualisation technologies; Utopia Documents: Transforming how industrial scientists interact with the scientific literature; Semantic MediaWiki in applied life science and industry: Building an Enterprise Encyclopaedia; Building disease and target knowledge with Semantic MediaWiki; Chem2Bio2RDF: A semantic resource for systems chemical biology and drug discovery; TripleMap: A web-based semantic knowledge discovery and collaboration application for biomedical research; Extreme scale clinical analytics with open source software; Validation and regulatory compliance of free/open source software; The economics of free/open source software in industry.
 
 
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