Guide To Human Genome Computing
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Guide to Human Genome Computing
The Guide to Human Genome Computing is invaluable to scientists who wish to make use of the powerful computing tools now available to assist them in the field of human genome analysis. This book clearly explains access and use of sequence databases, and presents the various computer packages used to analyze DNA sequences, measure linkage analysis, compare and align DNA sequences from different genes or organisms, and infer structural and functional information about proteins from sequence data. This Second Edition contains completely updated material. Rather than a revision of the previous volume, the Second Edition is essentially a new book, based on the subjects which will be of interest over the coming years. This new book is international, both in scope and authorship. - Computing resources for the following are clearly explained: Internet resources - databases etc. - Genetic analysis - Sib-pair studies - Comparative mapping - Radiation hybrids - Sequence ready clone maps - Human genome sequencing - ESTs - Gene prediction - Gene expression
Theoretical and Computational Methods in Genome Research
Author: Sándor Suhai
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
The application ofcomputational methods to solve scientific and practical problems in genome research created a new interdisciplinary area that transcends boundaries tradi tionally separating genetics, biology, mathematics, physics, and computer science. Com puters have, of course, been intensively used in the field of life sciences for many years, even before genome research started, to store and analyze DNA or protein sequences; to explore and model the three-dimensional structure, the dynamics, and the function of biopolymers; to compute genetic linkage or evolutionary processes; and more. The rapid development of new molecular and genetic technologies, combined with ambitious goals to explore the structure and function ofgenomes ofhigher organisms, has generated, how ever, not only a huge and exponentially increasing body of data but also a new class of scientific questions. The nature and complexity of these questions will also require, be yond establishing a new kind ofalliance between experimental and theoretical disciplines, the development of new generations both in computer software and hardware technolo gies. New theoretical procedures, combined with powerful computational facilities, will substantially extend the horizon of problems that genome research can attack with suc cess. Many of us still feel that computational models rationalizing experimental findings in genome research fulfill their promises more slowly than desired. There is also an uncer tainty concerning the real position of a "theoretical genome research" in the network of established disciplines integrating their efforts in this field.
Medical BioMethods Handbook
Author: John M. Walker
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-10-09
John Walker and Ralph Rapley have collected a wide-ranging group of molecular and biochemical techniques that are the most frequently used in medical and clinical research, especially diagnostics. The authors-well-established investigators who run their own research programs and use the methods on a regular basis-outline the practical procedures for using them and describe a variety of pertinent applications. Among the technologies presented are southern and western blotting, electrophoresis, PCR, cDNA and protein microarrays, liquid chromatography, in situ hybridization, karyotyping, flow cytometry, bioinformatics, genomics, and ribotyping. The applications include assays for mutation detection, mRNA analysis, chromosome translocations, inborn errors of metabolism, protein therapeutics, and gene therapy.