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Sequence alignment : methods, models, concepts, and strategies /
The sequencing of the human genome involved thousands of scientists but used relatively few tools. Today, obtaining sequences is simpler, but aligning the sequences-making sure that sequences from one source are properly compared to those from other sources-remains a complicated but underappreciated...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berkeley :
University of California Press,
©2009.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Sequence alignment : |b methods, models, concepts, and strategies / |c edited by Michael S. Rosenberg. |
| 260 | |a Berkeley : |b University of California Press, |c ©2009. | ||
| 300 | |a 1 online resource (xvi, 337 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 504 | |a Includes bibliographical references (pages 297-332) and index. | ||
| 505 | 0 | |a Sequence alignment : concepts and history -- Insertion and deletion events, their molecular mechanisms, and their impact on sequence alignments -- Local versus global alignments -- Computing multiple sequence alignment with template-based methods -- Sequence evolution models for simultaneous alignment and phylogeny reconstruction -- Phylogenetic hypotheses and the utility of multiple sequence alignment -- Structural and evolutionary considerations for multiple sequence alignment of RNA, and the challenges for algorithms that ignore them -- Constructing alignment benchmarks -- Simulation approaches to evaluating alignment error and methods for comparing alternate alignments -- Robust inferences from ambiguous alignments -- Strategies for efficient exploitation of the informational content of protein multiple alignments. | |
| 520 | |a The sequencing of the human genome involved thousands of scientists but used relatively few tools. Today, obtaining sequences is simpler, but aligning the sequences-making sure that sequences from one source are properly compared to those from other sources-remains a complicated but underappreciated aspect of comparative molecular biology. This volume, the first to focus on this crucial step in analyzing sequence data, is about the practice of alignment, the procedures by which alignments are established, and more importantly, how the outcomes of any alignment algorithm should be interpreted. | ||
| 588 | 0 | |a Print version record. | |
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| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Computational biology. | |
| 650 | 0 | |a Sequence alignment (Bioinformatics) | |
| 650 | 1 | 2 | |a Sequence Alignment |x methods |
| 650 | 2 | |a Computational Biology | |
| 650 | 2 | |a Sequence Alignment | |
| 650 | 6 | |a Bio-informatique. | |
| 650 | 6 | |a Homologie de séquence (Bio-informatique) | |
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| 650 | 7 | |a Computational biology |2 fast | |
| 650 | 7 | |a Sequence alignment (Bioinformatics) |2 fast | |
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| 700 | 1 | |a Rosenberg, Michael S., |d 1972- | |
| 776 | 0 | 8 | |i Print version: |t Sequence alignment. |d Berkeley : University of California Press, ©2009 |z 9780520256972 |w (DLC) 2008029222 |w (OCoLC)233261197 |
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