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Sequence Analysis in a Nutshell

A Guide to Tools

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Gene sequence data is abundant, and while numerous computational methods and tools exist for analysis, the challenge lies in navigating the various flat file formats and understanding their specific field codes. If you rely on hard copies of readme files or remember where to find details, this guide is for you. It serves as a practical resource and invaluable reference for those engaged in sequence analysis. The book compiles vital information about commonly used databases, analytical tools, and tables relevant to sequence analysis, organized into three main sections. The first section, "Databases," includes examples of flatfiles from key databases like GenBank, EMBL, and SWISS-PROT, along with definitions of codes and sequence feature types for nucleotide and protein databases. The second section, "Tools," offers command line syntax for popular applications such as ReadSeq, MEME/MAST, BLAST, ClustalW, and the EMBOSS suite. The third section, "Appendixes," focuses on essential information regarding the components of biological sequences, including nucleotide and protein codes and genetic codes. Written in O'Reilly's straightforward "Nutshell" format, this guide is essential for bioinformaticians in both industry and academia, as well as students. If sequence analysis is part of your daily work, this easy-to-use book will be a valuable addition to your desk.

Zakup książki

Sequence Analysis in a Nutshell, Lorrie LeJeune, Scott Markel, Darryl León

Język
Rok wydania
2003
Oprawa
(miękka)
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Metody płatności

3,6
Bardzo dobra
5 Ocena

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Tytuł
Sequence Analysis in a Nutshell
Podtytuł
A Guide to Tools
Język
angielski
Rok wydania
2003
Oprawa
miękka
Liczba stron
302
ISBN10
059600494X
ISBN13
9780596004941
Seria
Ocena
3,6 z 5
Opis
Gene sequence data is abundant, and while numerous computational methods and tools exist for analysis, the challenge lies in navigating the various flat file formats and understanding their specific field codes. If you rely on hard copies of readme files or remember where to find details, this guide is for you. It serves as a practical resource and invaluable reference for those engaged in sequence analysis. The book compiles vital information about commonly used databases, analytical tools, and tables relevant to sequence analysis, organized into three main sections. The first section, "Databases," includes examples of flatfiles from key databases like GenBank, EMBL, and SWISS-PROT, along with definitions of codes and sequence feature types for nucleotide and protein databases. The second section, "Tools," offers command line syntax for popular applications such as ReadSeq, MEME/MAST, BLAST, ClustalW, and the EMBOSS suite. The third section, "Appendixes," focuses on essential information regarding the components of biological sequences, including nucleotide and protein codes and genetic codes. Written in O'Reilly's straightforward "Nutshell" format, this guide is essential for bioinformaticians in both industry and academia, as well as students. If sequence analysis is part of your daily work, this easy-to-use book will be a valuable addition to your desk.