Bioinformatics: A Practical Guide to the Analysis of Genes by Andreas D. Baxevanis, B. F. Francis Ouellette

By Andreas D. Baxevanis, B. F. Francis Ouellette

"In this e-book, Andy Baxevanis and Francis Ouellette . . . have undertaken the tricky activity of organizing the data during this box in a logical development and proposing it in a digestible shape. they usually have performed a very good activity. This fantastic textual content will make an important influence on organic examine and, in flip, on development in biomedicine. we're all of their debt."
—Eric Lander from the Foreword

Reviews from the 1st Edition

"...provides a wide review of the fundamental instruments for series research ... For biologists drawing close this topic for the 1st time, will probably be a really helpful guide to maintain at the shelf after the 1st examining, with regards to the computer."
Nature Structural Biology

"...should be within the own library of any biologist who makes use of the web for the research of DNA and protein series data."
Science

"...a very good primer designed to navigate the beginner during the intricacies of in scripto research ... The finished gene searcher also will locate this ebook an invaluable addition to their library ... a superb connection with the rules of bioinformatics."
Trends in Biochemical Sciences

This re-creation of the hugely profitable Bioinformatics: a pragmatic consultant to the research of Genes and Proteins presents a valid origin of simple options, with functional discussions and comparisons of either computational instruments and databases correct to organic research.

Equipping biologists with the trendy instruments essential to remedy functional difficulties in series facts research, the second one version covers the vast spectrum of issues in bioinformatics, starting from web recommendations to predictive algorithms used on series, constitution, and expression facts. With chapters written by means of specialists within the box, this updated reference completely covers very important innovations and is suitable for either the beginner and the skilled practitioner. Written in transparent, basic language, the ebook is obtainable to clients with out a sophisticated mathematical or laptop technology historical past. This new version includes:

  • All new end-of-chapter internet assets, bibliographies, and challenge sets
  • Accompanying site containing the solutions to the issues, in addition to hyperlinks to correct internet resources
  • New assurance of comparative genomics, large-scale genome research, series meeting, and expressed series tags
  • A thesaurus of widely used phrases in bioinformatics and genomics

Bioinformatics: a pragmatic consultant to the research of Genes and Proteins, moment variation is key studying for researchers, teachers, and scholars of all degrees in molecular biology and bioinformatics, in addition to for investigators fascinated by genomics, positional cloning, medical study, and computational biology.

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Extra resources for Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Second Edition

Example text

These originally were the only identifier of a discrete GenBank record. Like a genetic locus name, it was intended to act both as a unique identifier for the record and as a mnemonic for the function and source organism of the sequence. Because the LOCUS line is in a fixed format, the locus name is restricted to ten or fewer numbers and uppercase letters. , HUMHBB was used for ‘‘human ␤-globin region’’). However, as with genetic locus names, locus names were changed when the function of a region was discovered to be different from what was originally thought.

However, GenBank, EMBL, and DDBJ have recently agreed on a way to represent these constructed assemblies, and they will be placed in a new CON division, with CON standing for ‘‘contig’’ (Fig. 1B). In the Entrez graphical view of segmented sequences, the segmented sequence is shown as a line connecting all of its component sequences (Fig. 1C). An NCBI segmented sequence does not require that there be gaps between the individual pieces. In fact the pieces can overlap, unlike the case of a segmented series in GenBank format.

However, GenBank, EMBL, and DDBJ have recently agreed on a way to represent these constructed assemblies, and they will be placed in a new CON division, with CON standing for ‘‘contig’’ (Fig. 1B). In the Entrez graphical view of segmented sequences, the segmented sequence is shown as a line connecting all of its component sequences (Fig. 1C). An NCBI segmented sequence does not require that there be gaps between the individual pieces. In fact the pieces can overlap, unlike the case of a segmented series in GenBank format.

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