Computational biology and bioinformatics: gene regulation by Ka-Chun Wong

By Ka-Chun Wong

The advances in biotechnology corresponding to the following iteration sequencing applied sciences are taking place at breathtaking pace. Advances and breakthroughs supply aggressive merits to people who are ready. even though, the motive force at the back of the optimistic pageant isn't just constrained to the technological development, but additionally to the significant other info analytical abilities and computational equipment that are jointly known as computational biology and bioinformatics. with no them, the biotechnology-output info on its own is uncooked and maybe meaningless. to elevate such expertise, we've got amassed the state of the art examine works in computational biology and bioinformatics with a thematic concentrate on gene rules during this book.

This e-book is designed to be self-contained and finished, focusing on senior undergraduates and junior graduate scholars within the similar disciplines equivalent to bioinformatics, computational biology, biostatistics, genome technological know-how, laptop technological know-how, utilized info mining, utilized desktop studying, existence technological know-how, biomedical technological know-how, and genetics. furthermore, we think that this publication will function an invaluable reference for either bioinformaticians and computational biologists within the post-genomic era.

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Science, 326(5950):289–93. May, D. , 2011. Large-scale discovery of enhancers from human heart tissue. Nature Genetics, 44(1):89–93. C. , Stark, 2009. Comparative genomics of gene regulation-conservation and divergence of cis-regulatory information. Current Opinion in Genetics and Development, 19(6):565–70. Melnikov, A. , 2012. Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay. Nature Biotechnology, 30(3):271–77. Navratilova, P.

Circular chromosome conformation capture (4C) uncovers extensive networks of epigenetically regulated intra- and interchromosomal interactions. Nature Genetics, 38(11)1341–47. 2 Cormotif: An R Package for Jointly Detecting Differential Gene Expression in Multiple Studies Yingying Wei1*, Toyoaki Tenzen2 and Hongkai Ji3 Abstract With the rapid decrease of costs, the high-throughput gene expression data are accumulating at exponential rate in larger public repositories. Nevertheless, usually only very few replicates are available in each experiments, which make differential gene expression detection suffer from low sample size.

Large-scale discovery of enhancers from human heart tissue. Nature Genetics, 44(1):89–93. C. , Stark, 2009. Comparative genomics of gene regulation-conservation and divergence of cis-regulatory information. Current Opinion in Genetics and Development, 19(6):565–70. Melnikov, A. , 2012. Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay. Nature Biotechnology, 30(3):271–77. Navratilova, P. , 2009. Systematic human/zebrafish comparative identification of cis-regulatory activity around vertebrate developmental transcription factor genes.

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