[HTML][HTML] A survey of DNA motif finding algorithms

MK Das, HK Dai - BMC bioinformatics, 2007 - Springer
Background Unraveling the mechanisms that regulate gene expression is a major challenge
in biology. An important task in this challenge is to identify regulatory elements, especially …

[HTML][HTML] Review of different sequence motif finding algorithms

FA Hashim, MS Mabrouk… - Avicenna journal of …, 2019 - ncbi.nlm.nih.gov
The DNA motif discovery is a primary step in many systems for studying gene function. Motif
discovery plays a vital role in identification of Transcription Factor Binding Sites (TFBSs) that …

[HTML][HTML] PePPER: a webserver for prediction of prokaryote promoter elements and regulons

A de Jong, H Pietersma, M Cordes, OP Kuipers, J Kok - BMC genomics, 2012 - Springer
Background Accurate prediction of DNA motifs that are targets of RNA polymerases, sigma
factors and transcription factors (TFs) in prokaryotes is a difficult mission mainly due to as yet …

Exhaustive search for over-represented DNA sequence motifs with CisFinder

AA Sharov, MSH Ko - DNA research, 2009 - academic.oup.com
We present CisFinder software, which generates a comprehensive list of motifs enriched in a
set of DNA sequences and describes them with position frequency matrices (PFMs). A new …

GADEM: a genetic algorithm guided formation of spaced dyads coupled with an EM algorithm for motif discovery

L Li - Journal of Computational Biology, 2009 - liebertpub.com
Genome-wide analyses of protein binding sites generate large amounts of data; a ChIP
dataset might contain 10,000 sites. Unbiased motif discovery in such datasets is not …

A comprehensive survey on genetic algorithms for DNA motif prediction

NK Lee, X Li, D Wang - Information Sciences, 2018 - Elsevier
Computational DNA motif discovery is important because it allows for speedy and cost
effective analysis of sequences enriched with DNA motifs, performs large scale comparative …

TFBS identification based on genetic algorithm with combined representations and adaptive post-processing

TM Chan, KS Leung, KH Lee - Bioinformatics, 2008 - academic.oup.com
Motivation: Identification of transcription factor binding sites (TFBSs) plays an important role
in deciphering the mechanisms of gene regulation. Recently, GAME, a Genetic Algorithm …

DeepFinder: An integration of feature-based and deep learning approach for DNA motif discovery

NK Lee, FL Azizan, YS Wong… - Biotechnology & …, 2018 - Taylor & Francis
We propose an improved solution to the three-stage DNA motif prediction approach. The
three-stage approach uses only a subset of input sequences for initial motif prediction, and …

[图书][B] Using artificial intelligence in chemistry and biology: a practical guide

H Cartwright - 2008 - taylorfrancis.com
Possessing great potential power for gathering and managing data in chemistry, biology,
and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration …

Finding patterns in protein sequences by using a hybrid multiobjective teaching learning based optimization algorithm

DL Gonzalez-Alvarez… - … ACM transactions on …, 2014 - ieeexplore.ieee.org
Proteins are molecules that form the mass of living beings. These proteins exist in
dissociated forms like amino-acids and carry out various biological functions, in fact, almost …