Biological Sequence Analysis

1998/04/23 by Richard Durbin, Sean R. Eddy, Anders Krogh +1 · 1 voice · 10 citations
Biochemistry, Genetics and Molecular Biology · #Genomics and Phylogenetic Studies

paper · doi:10.1017/cbo9780511790492

openalex publication_date 1998/04/23 · openalex created_date 2022/05/12 · openalex updated_date 2026/07/29

Abstract

Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.

Cited by

• Designing Molecular RNA Switches with Restricted Boltzmann Machines
• PeptideMiner—neuropeptide discovery across the animal kingdom
• Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder
• Pangenome-Informed Language Models for Synthetic Genome Sequence Generation
• Identifying Clusters of High Confidence Homologies in Multiple Sequence Alignments
• A Matrix Variational Auto-Encoder for Variant Effect Prediction in Pharmacogenes
• Beyond cognacy
• Implementation of a quantum sequence alignment algorithm for quantum bioinformatics
• Mapping the Evolution of Research Contributions using KnoVo
• A cautious user's guide in applying HMMs to physical systems

Discussions

• C'était une vraie question scientifique car cet algo prédomine dans notre domaine de recherche depuis près de 30 ans. Confer cet ouvrage que nombre de mes collègues utilisent pour leur développements [bsky, 0 points, 1 comments]