Building Bioinformatics Solutions

with Perl, R and MySQL

av Conrad Bessant. Häftad, 2008

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  • Häftad (Paperback)
  • Språk: Engelska
  • Antal sidor: 256
  • Utg.datum: 2008-11-27
  • Förlag: OUP Oxford
  • Medarbetare: Shadforth, Ian / Oakley, Darren
  • Illustrationer: 35 illustrations
  • Dimensioner: 247 x 190 x 13 mm
  • Vikt: 480 g
  • Antal komponenter: 1
  • ISBN: 9780199230235

Fler böcker av Conrad Bessant

  • Proteome Informatics

    Conrad Bessant

    The field of proteomics has developed rapidly over the past decade nurturing the need for a detailed introduction to the various informatics topics that underpin the main liquid chromatography tandem mass spectrometry (LC-MS/MS) protocols used for...

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Övrig information

<br>Conrad Bessant is the founder and head of the Cranfield University Bioinformatics Group, and designed the University's popular MSc in Applied Bioinformatics, which has been running since 2002. Conrad is now primarily focussed on research, with collaborators including leading academics and blue chip companies. His research interests include multivariate data analysis, data integration and machine learning, particularly applied to proteomics and metabolomics. <br> Ian Shadforth holds a degree in Natural Sciences from Cambridge, and an Engineering Doctorate in Bioinformatics from Cranfield University. He is currently a project leader at LifeScan Scotland Ltd, a division of Johnson & Johnson. He is focussed on the field of diabetes management, including the provision of new tools and educational programmes as well as applying his research expertise to biomarker discovery and related concepts. <br> Darren Oakley has a degree in Biochemistry, and a Bioinformatics MSc and PhD from Cranfield University. He is now working as a developer in the High Throughput Gene Targeting group at the Wellcome Trust Sanger Institute, helping to develop and maintain web-based tracking, monitoring and reporting systems for the laboratory. <br>


1. Introduction; 2. Building Biological Databases with MySQL; 3. Automating Processes Using Perl; 4. Numerical data analysis using R; 5. Programming for the Web; Appendix: Using Command Line Interfaces; Index