Applied Computational Biology and Statistics in Biotechnology and Bioinformatics (Set of 2 Vols.)
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| Title: | Applied Computational Biology and Statistics in Biotechnology and Bioinformatics (Set of 2 Vols.) |
|---|---|
| Description: | The book entitledis aimed to cater to the growing demand of academia, researchers and commercial ventures. Altogether there are forty four s divided into the following broad sections like 1. Bioinformatics, Genomics and Proteomics, 2. Phylogeny 3. Drug Design and Epigenomics 4. Advanced Computational Tools and Techniques 5. Statistical methods for computational biology, data mining and visualization 6. Socio Economics and Ethics. This book presents the foundations of key problems in computational molecular biology and bioinformatics. It contains basic molecular biology concepts, tools, techniques and ways to measure sequence similarity, presents simple applications of searching sequence databases. After introducing methods for aligning multiple biological sequences and genomes, the text explores applications of the phylogenetic tree, methods for comparing phylogenetic trees, the problem of gene expression and motif finding. Interestingly, it is attempted to introduce computational biology without formulas that presents the biological and computational ideas in a relatively simple manner. It focuses on computational and statistical principles applied to genomes, and introduces the computational statistics that are crucial for understanding and visualization of problems. This makes the material accessible to Statistician and computer scientists without biological training, as well as to biologists with limited background in Statistics and computer science. Furthermore one has been exclusively devoted to computational biology and computational statistics as applied in biotechnology illustrated with methodology, application and interpretation of results. More than four hundred figures, illustrations and diagrams reinforce concepts and present key results from the primary literature that will be very much useful to grasp on the subject, visualize the output and make right interpretation of the result. The book will be useful for all those working in Biotechnology sector in general and particularly researchers working in the laboratories of ICAR, CSIR, SAU's and many more institutions engaged R&D activities. |
| Authors: | Ajit Kumar Roy |
| Resource Type: | eBook. |
| Subjects: | Biotechnology, Computational biology, Bioinformatics, Biometry |
| Categories: | COMPUTERS / Data Science / Bioinformatics |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Applied Computational Biology and Statistics in Biotechnology and Bioinformatics (Set of 2 Vols.) – Name: Abstract Label: Description Group: Ab Data: The book entitledis aimed to cater to the growing demand of academia, researchers and commercial ventures. Altogether there are forty four s divided into the following broad sections like 1. Bioinformatics, Genomics and Proteomics, 2. Phylogeny 3. Drug Design and Epigenomics 4. Advanced Computational Tools and Techniques 5. Statistical methods for computational biology, data mining and visualization 6. Socio Economics and Ethics. This book presents the foundations of key problems in computational molecular biology and bioinformatics. It contains basic molecular biology concepts, tools, techniques and ways to measure sequence similarity, presents simple applications of searching sequence databases. After introducing methods for aligning multiple biological sequences and genomes, the text explores applications of the phylogenetic tree, methods for comparing phylogenetic trees, the problem of gene expression and motif finding. Interestingly, it is attempted to introduce computational biology without formulas that presents the biological and computational ideas in a relatively simple manner. It focuses on computational and statistical principles applied to genomes, and introduces the computational statistics that are crucial for understanding and visualization of problems. This makes the material accessible to Statistician and computer scientists without biological training, as well as to biologists with limited background in Statistics and computer science. Furthermore one has been exclusively devoted to computational biology and computational statistics as applied in biotechnology illustrated with methodology, application and interpretation of results. More than four hundred figures, illustrations and diagrams reinforce concepts and present key results from the primary literature that will be very much useful to grasp on the subject, visualize the output and make right interpretation of the result. The book will be useful for all those working in Biotechnology sector in general and particularly researchers working in the laboratories of ICAR, CSIR, SAU's and many more institutions engaged R&D activities. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ajit+Kumar+Roy%22">Ajit Kumar Roy</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Biotechnology%22">Biotechnology</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+biology%22">Computational biology</searchLink><br /><searchLink fieldCode="DE" term="%22Bioinformatics%22">Bioinformatics</searchLink><br /><searchLink fieldCode="DE" term="%22Biometry%22">Biometry</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Bioinformatics%22">COMPUTERS / Data Science / Bioinformatics</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 570.285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Biotechnology Type: general – SubjectFull: Computational biology Type: general – SubjectFull: Bioinformatics Type: general – SubjectFull: Biometry Type: general Titles: – TitleFull: Applied Computational Biology and Statistics in Biotechnology and Bioinformatics (Set of 2 Vols.) Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ajit Kumar Roy – PersonEntity: Name: NameFull: Ajit Kumar Roy IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 03 M: 02 Type: profile Y: 2023 Identifiers: – Type: isbn-print Value: 9789380235929 – Type: isbn-electronic Value: 9789389907421 Titles: – TitleFull: Applied Computational Biology and Statistics in Biotechnology and Bioinformatics (Set of 2 Vols.) Type: main |
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