Abstract
The emergence and development of computational technology and informatics innovates and complements the research approaches used in the classical molecular biology. Massively parallel signature sequencing approaches, especially genome-wide approaches, become the mainstream experimental approaches, which have generated a large number of biological data. Computational molecular biology is an integration of experimental molecular and genome biology with computational technology. The newly launching journal, Computational Molecular Biology (ISSN 1927-5587) provides a platform for the community in computational molecular and genome biology to disseminate new discoveries in this interdisciplinary field to meet new challenges including raw molecular data generation, data analysis, comparative and evolutionary genomics, and applications of biotechnology by applying the power of computational technology.
Highlights
Computational molecular biology cracks the mystery enabled the technology to be applied in areas of life based on the background knowledge in including drug filtering, new drug development and molecular biology by combining mathematical disease diagnosis(Weinstein et al, 2002)
Computa- the newly developed next-generation technology has tional biology focuses on aspects such as RNA produced exponentially a large amount of sequence structure prediction and sequence analysis
The applications of high-throughput experimental technology attracts a mathematics and statistics principles and the computer large number of efforts of bioinformatics approaches programs have helped to solve these problems made to the related areas including sequence analysis, (Mychaleckyj, 2007)
Summary
Computational molecular biology cracks the mystery enabled the technology to be applied in areas of life based on the background knowledge in including drug filtering, new drug development and molecular biology by combining mathematical disease diagnosis(Weinstein et al, 2002). The emergence and development of thousands of genes, and detect differences of gene computational technology and informatics innovates expression among samples quantitatively and and complements the research approaches used in the qualitatively.
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