Algorithms for Next-Generation Sequencing

This book is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource.

Table des matières

Introduction. Reference Alignment. Genome Assembly. Variation Discovery by Mapping to Reference. RNA-seq. ChIP-seq. Meta-Genomic. Other Technologies.

A propos de l'auteur

Wing-Kin Sung

Résumé

This book is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource.

Détails du produit

• Auteurs: Wing-Kin Sung, Wing-Kin (National University of Singapore) Sung, Sung Wing-Kin
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 30.09.2020
• EAN: 9780367657970
• ISBN: 978-0-367-65797-0
• Pages: 350
• Thème: Chapman & Hall/CRC Computational Biology Series
• Catégories: Livres de conseils; Sciences naturelles, médecine, informatique, technique > Mathématiques > Théorie des probabilités, stochastique, statistiques; MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / Biology, SCIENCE / Biotechnology, biotechnology, Biology, life sciences, Probability & statistics, Probability and statistics