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» DNA Computing in Microreactors
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ICMLA
2008
13 years 9 months ago
Ensemble Machine Methods for DNA Binding
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
Yue Fan, Mark A. Kon, Charles DeLisi
SODA
2008
ACM
108views Algorithms» more  SODA 2008»
13 years 9 months ago
Dimension augmentation and combinatorial criteria for efficient error-resistant DNA self-assembly
DNA self-assembly has emerged as a rich and promising primitive for nano-technology. Experimental and analytical evidence indicates that such systems are prone to errors, and acco...
Ho-Lin Chen, Ashish Goel, Chris Luhrs
BIB
2008
88views more  BIB 2008»
13 years 8 months ago
MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences
The Molecular Evolutionary Genetics Analysis (MEGA) software is a desktop application designed for comparative analysis of homologous gene sequences either from multigene families...
Sudhir Kumar, Masatoshi Nei, Joel Dudley, Koichiro...
TCBB
2008
103views more  TCBB 2008»
13 years 8 months ago
DNA Motif Representation with Nucleotide Dependency
The problem of discovering novel motifs of binding sites is important to the understanding of gene regulatory networks. Motifs are generally represented by matrices (PWM or PSSM) o...
Francis Y. L. Chin, Henry C. M. Leung
BMCBI
2005
130views more  BMCBI 2005»
13 years 8 months ago
Some statistical properties of regulatory DNA sequences, and their use in predicting regulatory regions in the Drosophila genome
Background: This paper addresses the problem of recognising DNA cis-regulatory modules which are located far from genes. Experimental procedures for this are slow and costly, and ...
Irina I. Abnizova, Rene te Boekhorst, Klaudia Walt...