The field of bioinformatics has two main objectives: the creation and maintenance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model specific patterns of a given dataset, which have some relevance to an important biological phenomenon or another dataset. To date, many...
The field of bioinformatics has two main objectives: the creation and maintenance of biological databases, and the discovery of knowledge from life sc...
The Institute for Mathematical Sciences at the National University of Singapore organized a program on "Post-Genome Knowledge Discovery" from January to June 2002. The program focused on the computational and statistical analysis of sequences and genetics, and the mathematical modeling of complex biological interactions, which are critical to the accurate annotation of genomic sequences, the study of the interplay between genes and proteins, and the study of the genetic variability of species. As part of the program, tutorials for graduate students and newcomers to this transdisciplinary area...
The Institute for Mathematical Sciences at the National University of Singapore organized a program on "Post-Genome Knowledge Discovery" from January ...
Computer scientists have increasingly been enlisted as “bioinformaticians” to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics: • Overview of modern molecular biology and a broad spectrum of techniques from computer science — data mining, machine...
Computer scientists have increasingly been enlisted as “bioinformaticians” to assist molecular biologists in their research. This book i...
High-throughput sequencing and functional genomics technologies have given us a draft human genome sequence and have enabled large-scale genotyping and gene expression profiling of human populations. Databases containing large number of sequences, polymorphisms, and gene expression profiles of normal and diseased tissues in different clinical states are rapidly being generated for human and model organisms. Bioinformatics is thus rapidly growing in importance in the annotation of genomic sequences, in the understanding of the interplay between genes and proteins, in the analysis the genetic...
High-throughput sequencing and functional genomics technologies have given us a draft human genome sequence and have enabled large-scale genotyping an...
Proteomics, as the study of all expressed proteins within a given system, is a fast-growing field in which its importance in contemporary biological research remains understated. The study of network-based proteomics provides a wealth of direct information not inferable from indirect transcriptional measurements. This means that direct protein observations could yield deeper biological insight and the increased development of novel medical interventions.This timely book offers insights into the technological developments in proteomics and introduces the reader to the issues in proteomic data...
Proteomics, as the study of all expressed proteins within a given system, is a fast-growing field in which its importance in contemporary biological r...
Systematically walks through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). The authors present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios.
Systematically walks through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the ne...
Systematically walks through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). The authors present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios.
Systematically walks through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the ne...
