GUIDE TO HUMAN GENOME COMPUTING 2E - Tapa dura

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

Over the last decade, the growth of interest and activity in human genome mapping and sequencing has been spectacular. It has also posed major problems in relation to the analysis of the vast amount of data that has been generated. In the next decade, a representative human genome sequence will have been determined, and in the following decades the function of the encoded proteins and their networks of relationship will be fully elucidated. This is therefore an exceptionally exciting time in history.
However, it is also a time of great confusion. This book describes the bioinformatics needed to achieve a meaningful analysis of this unprecedented amount of research data. The Internet is now an essential tool for the molecular biologist, and the World Wide Web is the major access method. Here a lucid explanation is given on how to use it and what biological material and services may be obtained.
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
This timely book represents an invaluable guide to working scientists wishing to make use of the powerful computing tools now available to assist them in the field of human genome analysis. Information on the practicalities of making effective use of computing in the generation, processing, analysis and storage of data, as well as in making the data available to the whole community that now needs to use it, is presented clearly by experts in the field.