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Bioinformatics :Tools and applications
This volume aims to provide a resource for biology students wanting a greater understanding of the encroaching area of bioinformatics, as well as computer scientists who are interested learning more about the field of applied bioinformatics.
| Main Authors: | , , |
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| Format: | Printed Book |
| Published: |
New York
Springer
2018
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| Edition: | 1st Ed. |
| Subjects: |
| LEADER | 01934nam a22002177a 4500 | ||
|---|---|---|---|
| 999 | |c 290334 |d 290334 | ||
| 020 | |a 9781493976089 | ||
| 082 | |a 572.802 85 |b DAV-B | ||
| 100 | |a Edwards, David | ||
| 100 | |a Stajich, Jason Eric | ||
| 100 | |a Hansen, David (Editors) | ||
| 245 | |a Bioinformatics :Tools and applications | ||
| 250 | |a 1st Ed. | ||
| 260 | |a New York |b Springer |c 2018 | ||
| 300 | |a i-xii+451p. | ||
| 500 | |a This volume have collated chapters describing various areas of applied bioinformatics, from the analysis of sequence, literature and functional data to the function and evolution of organisms.Initial chapters provide an introduction to the analysi of DNA and protein sequences, from motif detection to gene prediction and annotation, with specific chapters on DNA and protein databases as well as data visualization. | ||
| 505 | |a Introduction -- DNA sequence databases -- Sequence comparison tools -- Genome browsers -- Small RNA analysis -- Gene prediction methods -- Gene annotation methods -- Regulatory motif analysis -- Molecular Marker Discovery and Genetic map Visualisation -- Sequence based gene expression analysis -- Protein sequence databases -- Protein structure prediction -- Proteome studies -- Plant phenome data analysis -- Phenome analysis of microorganisms -- Standards for Functional Genomics -- Literature databases -- Advanced literature mining tools -- Data and databases -- Programming languages -- Index. | ||
| 520 | |a This volume aims to provide a resource for biology students wanting a greater understanding of the encroaching area of bioinformatics, as well as computer scientists who are interested learning more about the field of applied bioinformatics. | ||
| 650 | |a Computational Biology -- methods. Databases, Genetic. | ||
| 942 | |c BK | ||
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