Finding transcription factor binding sites is of great importance for biologists to understand gene expression regulatory mechanisms. Usually, researchers design algorithms to detect transcription factor biding sites with substitution mutations only, based on the conserved property of biological functional sequences. In this paper, we propose a randomized algorithm to find biding sites with indels. A tool is also developed to evaluate the performance of the algorithm based on simulated datasets. ? 2007 IEEE.EI
Predicting transcription factor binding sites (TFBS) from sequence is one of the most challenging pr...
Transcription factors (TFs) play a key role in gene regulation by binding to target sequences. In si...
It is known that much of the genetic change underlying morphological evolution takes place in cis-re...
Understanding the mechanisms that determine the regulation of gene expression is an important and ch...
Regulatory sequence detection is a fundamental challenge in computational biology. One key process i...
A central issue in molecular biology is understanding the regulatory mechanisms that control gene ex...
We consider a typical situation, where a researcher has determined one or more clusters of genes co-...
Gene expression is a complex and highly regulated process. Most of the regulation is controlled by s...
A central issue in molecular biology is understanding the regulatory mechanisms that control gene ex...
Identifying transcription factor binding sites with experimental methods is often expensive and time...
Despite the fact that each cell in an organism has the same genetic information, it is possible that...
DNA sequencing of different species has resulted in the generation of huge amount of biological data...
Abstract One of the most important issues in molecular biology is to understand regulatory mechanism...
Information about the binding preferences of many transcription factors is known and characterized b...
Computational prediction of nucleotide binding specificity for transcription factors remains a funda...
Predicting transcription factor binding sites (TFBS) from sequence is one of the most challenging pr...
Transcription factors (TFs) play a key role in gene regulation by binding to target sequences. In si...
It is known that much of the genetic change underlying morphological evolution takes place in cis-re...
Understanding the mechanisms that determine the regulation of gene expression is an important and ch...
Regulatory sequence detection is a fundamental challenge in computational biology. One key process i...
A central issue in molecular biology is understanding the regulatory mechanisms that control gene ex...
We consider a typical situation, where a researcher has determined one or more clusters of genes co-...
Gene expression is a complex and highly regulated process. Most of the regulation is controlled by s...
A central issue in molecular biology is understanding the regulatory mechanisms that control gene ex...
Identifying transcription factor binding sites with experimental methods is often expensive and time...
Despite the fact that each cell in an organism has the same genetic information, it is possible that...
DNA sequencing of different species has resulted in the generation of huge amount of biological data...
Abstract One of the most important issues in molecular biology is to understand regulatory mechanism...
Information about the binding preferences of many transcription factors is known and characterized b...
Computational prediction of nucleotide binding specificity for transcription factors remains a funda...
Predicting transcription factor binding sites (TFBS) from sequence is one of the most challenging pr...
Transcription factors (TFs) play a key role in gene regulation by binding to target sequences. In si...
It is known that much of the genetic change underlying morphological evolution takes place in cis-re...