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         Bioinformatics:     more books (100)
  1. Hidden Markov Models of Bioinformatics (Computational Biology) by Timo Koski, 2002-05-01
  2. The Ten Most Wanted Solutions in Protein Bioinformatics (Chapman & Hall/CRC Mathematical & Computational Biology) by Anna Tramontano, 2005-05-24
  3. Ontologies for Bioinformatics (Computational Molecular Biology) by Kenneth Baclawski, Tianhua Niu, 2005-10-01
  4. Bioinformatics: High Performance Parallel Computer Architectures (Embedded Multi-Core Systems)
  5. Bioinformatics: Sequence and Structural Analysis by O. S. D. Gopakumar, 2010-05-30
  6. Data Mining for Bioinformatics by Sumeet Dua, 2010-10-15
  7. Introduction to Bioinformatics (Chapman & Hall/CRC Mathematical & Computational Biology) by Anna Tramontano, 2006-12-06
  8. Bioinformatics and Drug Discovery (Methods in Molecular Biology)
  9. Bioinformatics: Genes, Proteins and Computers (Advanced Texts)
  10. Theory and Mathematical Methods in Bioinformatics (Biological and Medical Physics, Biomedical Engineering) by Shiyi Shen, 2010-11-02
  11. Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)
  12. Bioinformatics Basics: Applications in Biological Science and Medicine
  13. Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems by Edward Keedwell, Ajit Narayanan, 2005-06-17
  14. Microarray Bioinformatics by Dov Stekel, 2003-09-08

101. Welcome To PerlSource Informatics - Bioinformatics & Biotechnology Training
Provides online courses in Perl programming for bioinformatic tools.
http://www.perlsource.net
The Biomedical Information Age The science and practice of medicine has undergone a fundamental change as a result of large-scale genome projects that led to the sequencing of a number of important genomes, including human and several mammalian, animal, plant and microbial genomes in the last 5 years. Ground-breaking innovations in discrete and separate domains and convergence of technologies from disparate fields are the driving factors behind the advancements we see in biomedical research.
PerlSource Informatics is positioned at the confluence of biology, medicine and information technology and was established to combine deep domain knowledge of biomedical sciences, genomics and discovery research with industry standard software engineering and design principles. The main objectives of PerlSource are to -
For information on training, please explore our courses , in Perl Unix Java Bioinformatics and Biotechnology or contact us with your specific requirements at courses@perlsource.net

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