Bioinformatics Support Manager at Pioneer Hi-bred International (Wilmington, DE)
May 10, 2010 by BioinformaticsDirectory.com · Leave a Comment
candidate will be responsible for providing proactive bioinformatics support, scientific consultation, data … and computational biologists to meet researcher needs in bioinformatics and computational biology. They will provide…
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Problems and Solutions in Biological Sequence Analysis
May 5, 2010 by BioinformaticsDirectory.com · 1 Comment
Product Description
This book is the first of its kind to provide a large collection of bioinformatics problems with accompanying solutions. Notably, the problem set includes all of the problems offered in Biological Sequence Analysis (BSA), by Durbin et al., widely adopted as a required text for bioinformatics courses at leading universities worldwide. Although many of the problems included in BSA as exercises for its readers have been repeatedly used for homework and tests, no detailed solutions for the problems were available. Bioinformatics instructors had therefore frequently expressed a need for fully worked solutions and a larger set of problems for use on courses. This book provides just that: following the same structure as BSA and significantly extending the set of workable problems it will facilitate a better understanding of the contents of the chapters in BSA and will help its readers develop problem solving skills that are vitally important for conducting successful research in the growing field of bioinformatics. All of the material has been class-tested by the authors at Georgia Tech, where the first ever M.Sc. degree program in Bioinformatics was held. MARK BORODOVSKY is the Regents’ Professor of Biology and Biomedical Engineering and Director of the Center for Bioinformatics and Computational Biology at Georgia Institute of Technology in Atlanta. He is the founder of the Georgia Tech M.Sc. and Ph.D. degree programs in Bioinformatics. His research interests are in bioinformatics and systems biology. He has taught Bioinformatics courses since 1994. SVETLANA EKISHEVA is a Research Scientist at the School of Biology, Georgia Institute of Technology, Atlanta. Her research interests are in bioinformatics, applied statistics and stochastic processes. Her expertise includes teaching probability theory and statistics at universities in Russia and in the USA.
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us: Postdoctoral positions in Bioinformatics and Computational Biology – United States
April 27, 2010 by BioinformaticsDirectory.com · Leave a Comment
Medicine and Bioinformatics, University of Michigan… edu ), Center for Computational Medicine & Bioinformatics, the University of Michigan, 100 Washtenaw…
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WALCOM: Algorithms and Computation: Second International Workshop, WALCOM 2008, Dhaka, Bangladesh, February 7-8, 2008, Proceedings
April 8, 2010 by BioinformaticsDirectory.com · Leave a Comment
Product Description
This book constitutes the refereed proceedings of the Second International Workshop on Algorithms and Computation, WALCOM 2008, held in Dhaka, Bangladesh, in February 2008.
The 19 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 57 submissions. The papers feature original research in the areas of algorithms and data structures, combinatorial algorithms, graph drawings and graph algorithms, parallel and distributed algorithms, string algorithms, computational geometry, graphs in bioinformatics and computational biology. The papers are organized in topical sections on bioinformatics algorithms, computational geometry and graph drawing, graph algorithms, and algorithm engineering.
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Handbook of Chemoinformatics Algorithms
April 8, 2010 by BioinformaticsDirectory.com · Leave a Comment
Product Description
Unlike in the related area of bioinformatics, few books currently exist that document the techniques, tools, and algorithms of chemoinformatics. Bringing together worldwide experts in the field, the Handbook of Chemoinformatics Algorithms provides an overview of the most common chemoinformatics algorithms in a single source.
After a historical perspective of the applications of algorithms and graph theory to chemical problems, the book presents algorithms for two-dimensional chemical structures and three-dimensional representations of molecules. It then focuses on molecular descriptors, virtual screening methods, and quantitative structure–activity relationship (QSAR) models, before introducing algorithms to enumerate and sample chemical structures. The book also covers computer-aided molecular design, reaction network generation, and open source software and database technologies. The remaining chapters describe techniques developed in the context of bioinformatics and computational biology and their potential applications to chemical problems.
This handbook presents a selection of algorithms relevant in practice, making the book useful to those working in the field. It offers an up-to-date account of many algorithmic aspects of chemoinformatics.
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