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Neil C Jones

Publications and source records attributed to Neil C Jones.

3 recordsLinked to original sources

Comparative genomics reveals unusually long motifs in mammalian genomes.

MOTIVATION: The recent discovery of the first small modulatory RNA (smRNA) presents the challenge of finding other molecules of similar length and conservation level. Unlike short interfering RNA (siRNA) and micro-RNA (miRNA), effective computational and experimental screening methods are not currently known for this species of RNA molecule, and the discovery of the one known example was partly fortuitous because it happened to be complementary to a well-studied DNA binding motif (the Neuron Restrictive Silencer Element). RESULTS: The existing comparative genomics approaches (e.g., phylogenetic footprinting) rely on alignments of orthologous regions across multiple genomes. This approach, while extremely valuable, is not suitable for finding motifs with highly diverged "non-alignable" flanking regions. Here we show that several unusually long and well conserved motifs can be discovered de novo through a comparative genomics approach that does not require an alignment of orthologous upstream regions. These motifs, including Neuron Restrictive Silencer Element, were missed in recent comparative genomics studies that rely on phylogenetic footprinting. While the functions of these motifs remain unknown, we argue that some may represent biologically important sites. AVAILABILITY: Our comparative genomics software, a web-accessible database of our results and a compilation of experimentally validated binding sites for NRSE can be found at http://www.cse.ucsd.edu/groups/bioinformatics.

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AliWABA: alignment on the web through an A-Bruijn approach.

UNLABELLED: Multiple sequence alignment programs are an invaluable tool in computational biology. A-Bruijn Alignment (ABA) is a method for multiple sequence alignment that represents an alignment as a directed graph and has proved useful in aligning nucleotide and amino acid sequences that are composed of repeated and shuffled subsequences. AliWABA is a web server that provides tools to generate alignments with ABA, visualize the resulting ABA graphs and extract subsequences from ABA graphs. AliWABA greatly simplifies the problem of analyzing multiple sequences for local similarities that may be reordered, as is common with the domain architectures of proteins. To facilitate the analysis of protein domains, AliWABA provides direct querying of the Conserved Domain Database. AVAILABILITY: http://aba.nbcr.net/

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De novo identification of repeat families in large genomes.

MOTIVATION: De novo repeat family identification is a challenging algorithmic problem of great practical importance. As the number of genome sequencing projects increases, there is a pressing need to identify the repeat families present in large, newly sequenced genomes. We develop a new method for de novo identification of repeat families via extension of consensus seeds; our method enables a rigorous definition of repeat boundaries, a key issue in repeat analysis. RESULTS: Our RepeatScout algorithm is more sensitive and is orders of magnitude faster than RECON, the dominant tool for de novo repeat family identification in newly sequenced genomes. Using RepeatScout, we estimate that approximately 2% of the human genome and 4% of mouse and rat genomes consist of previously unannotated repetitive sequence. AVAILABILITY: Source code is available for download at http://www-cse.ucsd.edu/groups/bioinformatics/software.html

Algorithms↗