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Record Nr. |
UNINA9911018651603321 |
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Autore |
Wang Sufang |
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Titolo |
Practical Bioinformatics : A Laboratory Manual / / by Sufang Wang, Michael Gribskov |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (143 pages) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Genetics - Research |
Biology - Technique |
Genetics |
Molecular biology |
Biotechnology |
Genetics Research |
Biological Techniques |
Genetics and Genomics |
Molecular Biology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Introduction to Bioinformatics -- Chapter 2. Introduction to Antibiotic Resistance -- Chapter 3. Introduction to Evolution and Homology -- Chapter 4. Preparing your sequences -- Chapter 5. Investigating sequence comparison statistics -- Chapter 6. Finding homologous sequences using Blast -- Chapter 7. Finding homologous sequences using UniProt -- Chapter 8. Multiple Sequence Alignment -- Chapter 9. Identifying conserved sequence motifs -- Chapter 10. Building a phylogenetic tree -- Chapter 11. Gene expression analysis in RNA-seq -- Chapter 12. Machine learning methods in RNA-seq. |
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Sommario/riassunto |
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This book is a lab manual which can be integrated with bioinformatics course. The field of bioinformatics is advancing at a remarkable rate. With the development of new analytical techniques that make use of the latest advances in machine learning and data science, today’s biologists are gaining fantastic new insights into the natural world’s most |
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complex systems. This book includes a lab-based manual that can assist students handling large biological data. It aims to help students and researchers understand (1) the importance of horizontal transfer in the spread of antibiotic resistance, and in biology more broadly; (2) how protein and nucleic acid sequences are used to determine phylogenetic trees and the genetic relationship between organisms; (3) how sequence comparisons can be used to infer protein function; and (4) how to analyze high-throughput sequencing data to do gene expression analysis. This book is valuable for researchers, teachers and students, as well as any readers who are interested in bioinformatics. |
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