82 data subsets are shown as 82 different horizontal lines. Each data subset contains TFBSs corresponding to a single specific transcription factor.<p><b>Copyright information:</b></p><p>Taken from "Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor binding sites"</p><p>http://www.biomedcentral.com/1471-2105/9/262</p><p>BMC Bioinformatics 2008;9():262-262.</p><p>Published online 4 Jun 2008</p><p>PMCID:PMC2432075.</p><p></p
DNA sequencing of different species has resulted in the generation of huge amount of biological data...
Regulatory sequence detection is a fundamental challenge in computational biology. One key process i...
Predicting transcription factor binding sites (TFBS) from sequence is one of the most challenging pr...
23 data subsets are shown as 23 different horizontal lines. Each data subset contains TFBSs correspo...
An important part of gene regulation is mediated by specific proteins, called transcription factors,...
Gene expression is controlled by a family of proteins called transcription fac-tors (TF) that bind s...
The identification of the transcription factor binding sites can help gain insight into the regulato...
Motivation: The position-specific weight matrix (PWM) model, which assumes that each position in the...
Identifying transcription factor (TF) binding sites (TFBSs) is an important step towards understandi...
Transcription factors bind sequence-specific sites in DNA to regulate gene transcription. Identifying...
Transcription factors bind sequence-specific sites in DNA to regulate gene transcription. Identifying...
Transcription factors bind sequence-specific sites in DNA to regulate gene transcription. Identifying...
Gene transcription is regulated by interactions between transcription factors and their target bindi...
Gene expression is a complex and highly regulated process. Most of the regulation is controlled by s...
A Bayesian method for sampling from the distribution of matches to a precompiled transcription facto...
DNA sequencing of different species has resulted in the generation of huge amount of biological data...
Regulatory sequence detection is a fundamental challenge in computational biology. One key process i...
Predicting transcription factor binding sites (TFBS) from sequence is one of the most challenging pr...
23 data subsets are shown as 23 different horizontal lines. Each data subset contains TFBSs correspo...
An important part of gene regulation is mediated by specific proteins, called transcription factors,...
Gene expression is controlled by a family of proteins called transcription fac-tors (TF) that bind s...
The identification of the transcription factor binding sites can help gain insight into the regulato...
Motivation: The position-specific weight matrix (PWM) model, which assumes that each position in the...
Identifying transcription factor (TF) binding sites (TFBSs) is an important step towards understandi...
Transcription factors bind sequence-specific sites in DNA to regulate gene transcription. Identifying...
Transcription factors bind sequence-specific sites in DNA to regulate gene transcription. Identifying...
Transcription factors bind sequence-specific sites in DNA to regulate gene transcription. Identifying...
Gene transcription is regulated by interactions between transcription factors and their target bindi...
Gene expression is a complex and highly regulated process. Most of the regulation is controlled by s...
A Bayesian method for sampling from the distribution of matches to a precompiled transcription facto...
DNA sequencing of different species has resulted in the generation of huge amount of biological data...
Regulatory sequence detection is a fundamental challenge in computational biology. One key process i...
Predicting transcription factor binding sites (TFBS) from sequence is one of the most challenging pr...