By Laura Elnitski, Helen Piontkivska, Lonnie R. Welch
Mapping the genomic landscapes is likely one of the most fun frontiers of technological know-how. we've got the chance to opposite engineer the blueprints and the regulate platforms of dwelling organisms. Computational instruments are key enablers within the interpreting approach. This e-book presents an in-depth presentation of a few of the real computational biology methods to genomic series research. the 1st element of the booklet discusses tools for locating styles in DNA and RNA. this is often via the second one part that displays on tools in a variety of methods, together with functionality, utilization and paradigms
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Extra info for Advances in Genomic Sequence Analysis and Pattern Discovery
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2003) Conservation of regulatory elements between two species of Drosophila. BMC Bioinformatics 4: 57. Fejes AP, Robertson G, Bilenky M et al. 1: A tool for identifying areas of enrichment from massively parallel short-read sequencing technology. Bioinformatics 24: 1729–1730. FitzGerald PC, Sturgill D, Shyakhtenko A et al. (2006) Comparative genomics of Drosophila and human core promoters. Genome Biol 7: R53. Flicek P, Aken BL, Beal Ballester B et al. (2008) Ensembl 2008. Nucleic Acids Res 36: D707–714.
Conclusions In this chapter, we outlined the use of ab initio motif discovery algorithm NestedMICA in computational discovery of higher eukaryotic transcription factor binding site motifs. We validated the sequence motif signals by associating them with tissue-specific gene expression, positional bias and inter-species conservation patterns. We also show similarity comparisons between computationally discovered and experimentally verified motif sets. December 16, 2010 16:54 9in x 6in Advances in Genomic Sequence Analysis and Pattern Discovery Large-Scale Gene Regulatory Motif Discovery with NestedMICA b1051-ch01 21 Fig.
Advances in Genomic Sequence Analysis and Pattern Discovery by Laura Elnitski, Helen Piontkivska, Lonnie R. Welch