Ebook: Discovering Biomolecular Mechanisms with Computational Biology

In this anthology, leading researchers present critical reviews of methods and high-impact applications in computational biology that lead to results that also non-bioinformaticians must know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biology also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation.

Discovering Biomolecular Mechanisms with Computational Biology is essential reading for life science researchers and higher-level students that work on biomolecular mechanisms and wish to understand the impact of computational biology for their success.

Discovering Biomolecular Mechanisms with Computational Biology explores the methodology of translating sequence strings into biological knowledge and considers exemplary groundbreaking results such as unexpected enzyme discoveries. The book presents critical reviews of methods and high-impact applications in computational biology.

As the contributors demonstrate, sequence analysis becomes even more powerful when combined with automated scientific text mining for the prediction of gene function and gene-disease association, with the analysis of expression data or allele occurrences such as single-nucleotide polymorphisms and frequencies.

This book also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation. It is essential reading for life science researchers and higher-level students working on biomolecular mechanisms who wish to understand the impact of computational biology on their work.