Motivation: One of the major challenges for contemporary bioinfor-matics is the analysis and accurate annotation of genomic datasets to enable extraction of useful information about the functional role of DNA sequences. This paper describes a novel genome-wide statis-tical approach to the detection of specific DNA sequence motifs based on similarities between the promoters of similarly expressed genes. This new tool, cisExpress, is especially designed for use with very large data sets such as those generated by publicly accessible whole genome and transcriptome projects. cisExpress uses a task farming algorithm to exploit all available computational cores within a shared memory node. We demonstrate the robust nature and validity of the prop...
The research described in this paper highlights a fruitful interplay between biology and computation...
Abstract Background The identification of motif modules, groups of multiple motifs frequently occurr...
Sequence information gain based motif analysis Joan Maynou1,2*, Erola Pairó3,4, Santiago Marco3,4 an...
The paper presents a genetic mining approach to discover highly conserved motifs amongst upstream se...
The paper presents a genetic mining approach to discover highly conserved motifs amongst upstream se...
As a result of the human genome project and advancements in DNA sequencing technology, we can utiliz...
As a result of the human genome project and advancements in DNA sequencing technology, we can utiliz...
As a result of the human genome project and advancements in DNA sequencing technology, we can utiliz...
BACKGROUND:Unraveling the mechanisms that regulate gene expression is a major challenge in biology. ...
This is the author version of the article published in the conference proceedings. It includes suppl...
The problem of detecting DNA motifs with functional relevance in real biological sequences is diffic...
The problem of detecting DNA motifs with functional relevance in real biological sequences is diffic...
The problem of detecting DNA motifs with functional relevance in real biological sequences is diffic...
Motivation: Finding common patterns, motifs, from a set of promoter regions of coregulated genes is ...
Motivation: Discovery of regulatory motifs in unaligned DNA sequences remains a fundamental problem ...
The research described in this paper highlights a fruitful interplay between biology and computation...
Abstract Background The identification of motif modules, groups of multiple motifs frequently occurr...
Sequence information gain based motif analysis Joan Maynou1,2*, Erola Pairó3,4, Santiago Marco3,4 an...
The paper presents a genetic mining approach to discover highly conserved motifs amongst upstream se...
The paper presents a genetic mining approach to discover highly conserved motifs amongst upstream se...
As a result of the human genome project and advancements in DNA sequencing technology, we can utiliz...
As a result of the human genome project and advancements in DNA sequencing technology, we can utiliz...
As a result of the human genome project and advancements in DNA sequencing technology, we can utiliz...
BACKGROUND:Unraveling the mechanisms that regulate gene expression is a major challenge in biology. ...
This is the author version of the article published in the conference proceedings. It includes suppl...
The problem of detecting DNA motifs with functional relevance in real biological sequences is diffic...
The problem of detecting DNA motifs with functional relevance in real biological sequences is diffic...
The problem of detecting DNA motifs with functional relevance in real biological sequences is diffic...
Motivation: Finding common patterns, motifs, from a set of promoter regions of coregulated genes is ...
Motivation: Discovery of regulatory motifs in unaligned DNA sequences remains a fundamental problem ...
The research described in this paper highlights a fruitful interplay between biology and computation...
Abstract Background The identification of motif modules, groups of multiple motifs frequently occurr...
Sequence information gain based motif analysis Joan Maynou1,2*, Erola Pairó3,4, Santiago Marco3,4 an...