Bioinformatics Programming in Python
November 21 2008 | Bioinformatics | No Comments »
Archive for the 'Bioinformatics' Category
Bioinformatics
This book is written by an experienced author team representing the many areas from which the new discipline of Bioinformatics is emerging. Their common sense approach and carefully detailed presentations in “Bioinformatics: A Computing Perspective” blends computing and biological sciences in an engaging and unique way.. “Bioinformatics: A Computing Approach” helps students become conversant with key concepts in the biological sciences and knowledgeable about current programming tools and approaches. It successfully ties interesting computational challenges to relevant biological phenomenon in a way that will engage the next generation of scientists..
November 21 2008 | Bioinformatics | No Comments »
Bioinformatics
GET FULLY UP-TO-DATE ON BIOINFORMATICS-THE TECHNOLOGY OF THE 21ST CENTURY. . .
“Bioinformatics” showcases the latest developments in the field along with all the foundational information you’ll need. It provides in-depth coverage of a wide range of autoimmune disorders and detailed analyses of suffix trees, plus late-breaking advances regarding biochips and genomes. . .
Featuring helpful gene-finding algorithms, “Bioinformatics” offers key information on sequence alignment, HMMs, HMM applications, protein secondary structure, microarray techniques, and drug discovery and development. Helpful diagrams accompany mathematical equations throughout, and exercises appear at the end of each chapter to facilitate self-evaluation. . .
This thorough, up-to-date resource features: . Worked-out problems illustrating concepts and models. End-of-chapter exercises for self-evaluation. Material based on student feedback. Illustrations that clarify difficult math problems. A list of bioinformatics-related websites. .
“Bioinformatics” covers: . Sequence representation and alignment. Hidden Markov models. Applications of HMMs. Gene finding. Protein secondary structure prediction. Microarray techniques. Drug discovery and development. Internet resources and public domain databases. .
November 21 2008 | Bioinformatics | No Comments »
Screenshort of BioSeqAnalyzer v1.0
BioSeqAnalyzer is a bioinformatics software tool for analyzing DNA and protein sequences. The registered version, supports the following operations: Scoring alignment. Linear global alignment. Affine global alignment. Local alignment. Multiple alignment. Hidden Markov Models profiles. Aligning to
November 21 2008 | Bioinformatics | No Comments »
Bioinformatics for Systems Biology
The biological sciences are now in the midst of a true life sciences revolution akin to what physics experienced just after the turn of the last century. We are now in a phase of unparalleled growth that is reflected by the amount of data generated from each experiment. At the time of this writing, the rate of data acquisition was approaching 2 terabytes over the course of 5 days with first pass analysis proceeding over the following 2-3 week period. This fundamental shift has provided unprecedented opportunities that for the first time afford us the ability, i.e., means, breadth, and depth of data, to truly address human biology at the systems level. This wealth of information from seemingly disparate datasets and its integration is being realized through bioinformatics. It is with this philosophy that the text Bioinformatics for Systems Biology was born. This revolution has spawned true personalized medicine that encompasses diagnostics and treatment through to cure.
For the physical and computer scientist, this text provides an introduction to the basic biological principles governing a cell. This quickly moves from the fundamentals to exploring the underlying genetic processes. While providing a rudimentary and necessary overview for the life scientist, the physical and computer scientist will be apprised of various nuances within the field reflecting the reality of a oewet-bencha science. For those in the life sciences, it is rapidly becoming appreciated that we are progressing from examining our favorite a oepeta gene to the system. Statistics is now an essential component to understand the vast datasets and this is emphasized throughout the text.
The majority of the textis devoted to the common ground that these groups share. It provides rich examples of tools, databases, and strategies to mine the databases to reveal novel insights. A host of examples of parsing the data into a series of overlays that use various presentation systems are reviewed. The goal is to provide a representation most comfortable to the user to enable the user to thoroughly explore the data. The text concludes with examples of how the systems information is used to inform personalized medicine in a true a oebench to bedsidea manner.
Bioinformatics for Systems Biology bridges and unifies many disciplines. It presents the life scientist, computational biologist, and mathematician with a common framework. Only by linking the groups together may the true life sciences revolution move forward in the mostly uncharted and emerging field of Systems Biology.
November 21 2008 | Bioinformatics | No Comments »
An Introduction to Bioinformatics Algorithms
This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying
November 19 2008 | Bioinformatics | No Comments »
Kalorama’s Proteomics 50: Competing Technologies and Alliances in an Emerging Industry
1: Executive Summary Scope and Methodology Proteomics and Genomics Proteomics and Bioinformatics Challenges Facing Proteomics Research The Magnitude and Complexity of the Task Proteomics Data Are Increasing Exponentially Technological Challenges Increasing Need for Interdisciplinary Research
November 19 2008 | Bioinformatics | No Comments »
Bioinformatics Research and Development
This book constitutes the refereed proceedings of the Second International Bioinformatics Research and Development Conference, BIRD 2008, held in Vienna, Austria in July 2008.
The 49 revised full papers presented were carefully reviewed and selected. 30 papers are organized in topical sections followed by 11 papers from the ALBIO workshop and 8 papers from the PETRIN workshop.
November 19 2008 | Bioinformatics | No Comments »
Bioinformatics: Methods and Applications Genomics, Proteomics and Drug Discovery
Brand New. Soft Cover International edition. Contents are same as US edition.
November 19 2008 | Bioinformatics | No Comments »
INTRO MACHINE LEARNING & BIOINFORMATICS BY MITRA
9781584886822 - SHEDS LIGHT ON ASPECTS OF BOTH MACHINE LEARNING & BIOINFORMATICS; SHOWS HOW INNOVATIVE TOOLS & TECHNIQUES OF MACHINE LEARNING HELP EXTRACT KNOWLEDGE FROM DELUGE OF INFORMATION PRODUCED BY TODAY’S BIOLOGICAL EXPERIMENTS.
November 19 2008 | Bioinformatics | No Comments »