Statistics for Bioinformatics : Methods for Multiple Sequence Alignment /
Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has b...
| Main Author: | |
|---|---|
| Format: | |
| Language: | eng |
| Published: |
London : Elsevier ,
2016
|
| Subjects: |
| _version_ | 1826466264647729152 |
|---|---|
| author | Julie, Thompson |
| author_facet | Julie, Thompson |
| author_sort | Julie, Thompson |
| collection | OCEAN |
| description | Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs. - Explains the dynamics that animate health systems. - Explores tracks to build sustainable and equal architecture of health systems. - Examines the advantages and disadvantages of the different approaches to care integration and the management of health information. |
| first_indexed | 2024-03-05T15:46:23Z |
| format | |
| id | KOHA-OAI-TEST:545115 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T15:46:23Z |
| publishDate | 2016 |
| publisher | London : Elsevier , |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:5451152020-12-19T17:20:36ZStatistics for Bioinformatics : Methods for Multiple Sequence Alignment / Julie, Thompson London : Elsevier ,2016engStatistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs. - Explains the dynamics that animate health systems. - Explores tracks to build sustainable and equal architecture of health systems. - Examines the advantages and disadvantages of the different approaches to care integration and the management of health information.Includes bibliographical references and indexStatistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs. - Explains the dynamics that animate health systems. - Explores tracks to build sustainable and equal architecture of health systems. - Examines the advantages and disadvantages of the different approaches to care integration and the management of health information.PSZJBLBioinformaticsURN:ISBN:9781785482168 |
| spellingShingle | Bioinformatics Julie, Thompson Statistics for Bioinformatics : Methods for Multiple Sequence Alignment / |
| title | Statistics for Bioinformatics : Methods for Multiple Sequence Alignment / |
| title_full | Statistics for Bioinformatics : Methods for Multiple Sequence Alignment / |
| title_fullStr | Statistics for Bioinformatics : Methods for Multiple Sequence Alignment / |
| title_full_unstemmed | Statistics for Bioinformatics : Methods for Multiple Sequence Alignment / |
| title_short | Statistics for Bioinformatics : Methods for Multiple Sequence Alignment / |
| title_sort | statistics for bioinformatics methods for multiple sequence alignment |
| topic | Bioinformatics |
| work_keys_str_mv | AT juliethompson statisticsforbioinformaticsmethodsformultiplesequencealignment |