rMotifGen: random motif generator for DNA and protein sequences
نویسندگان
چکیده
منابع مشابه
Development of an Efficient Hybrid Method for Motif Discovery in DNA Sequences
This work presents a hybrid method for motif discovery in DNA sequences. The proposed method called SPSO-Lk, borrows the concept of Chebyshev polynomials and uses the stochastic local search to improve the performance of the basic PSO algorithm as a motif finder. The Chebyshev polynomial concept encourages us to use a linear combination of previously discovered velocities beyond that proposed b...
متن کاملA Reversible LFSR Pseudo-Random Sequences Generator
With the development of science and technology, many testable design methods have been widely studied and applied to improve the quality of IC testing and reduce cost. Built-in self-test (BIST) is a primary self-test methodology and is widely used for testing VLSI circuits. This method configures circuits for testing itself, with the advantage of low test complexity, short test time, high fault...
متن کاملMotif Detection in Protein Sequences
We use methods from Data Mining and Knowledge Discovery to design an algorithm for detecting motifs in protein sequences. Based on this approach, we have implemented a program called “GYM”. The Helix-TurnHelix Motif was used as a model system on which to test our program. The program was also extended to detect Homeodomain motifs. The detection results for the two motifs compare favorably with ...
متن کاملFinding regulatory sequences in DNA: motif discovery
The purpose of motif discovery as discussed here is to find binding sites of DNA binding regulators. We assume that the binding sites are short segments of DNA, not necessarily contiguous, to which a specific (family of) transcription factors can bind. While such sites may appear in genic as well as intergenic regions, we focus here on finding binding sites only in the promoter region of each ...
متن کاملcisExpress: motif detection in DNA sequences
MOTIVATION One of the major challenges for contemporary bioinformatics is the analysis and accurate annotation of genomic datasets to enable extraction of useful information about the functional role of DNA sequences. This article describes a novel genome-wide statistical approach to the detection of specific DNA sequence motifs based on similarities between the promoters of similarly expressed...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2007
ISSN: 1471-2105
DOI: 10.1186/1471-2105-8-292