Literature DB >> 17048384

A uniform projection method for motif discovery in DNA sequences.

Benjamin Raphael1, Lung-Tien Liu, George Varghese.   

Abstract

Buhler and Tompa introduced the random projection algorithm for the motif discovery problem and demonstrated that this algorithm performs well on both simulated and biological samples. We describe a modification of the random projection algorithm, called the uniform projection algorithm, which utilizes a different choice of projections. We replace the random selection of projections by a greedy heuristic that approximately equalizes the coverage of the projections. We show that this change in selection of projections leads to improved performance on motif discovery problems. Furthermore, the uniform projection algorithm is directly applicable to other problems where the random projection algorithm has been used, including comparison of protein sequence databases.

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Year:  2004        PMID: 17048384     DOI: 10.1109/TCBB.2004.14

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  6 in total

1.  Finding motifs in DNA sequences using low-dispersion sequences.

Authors:  Xun Wang; Ying Miao; Minquan Cheng
Journal:  J Comput Biol       Date:  2014-03-05       Impact factor: 1.479

Review 2.  Noncoding Variants Functional Prioritization Methods Based on Predicted Regulatory Factor Binding Sites.

Authors:  Haoyue Fu; Xiangde Zhang
Journal:  Curr Genomics       Date:  2017-08       Impact factor: 2.236

3.  Refining motifs by improving information content scores using neighborhood profile search.

Authors:  Chandan K Reddy; Yao-Chung Weng; Hsiao-Dong Chiang
Journal:  Algorithms Mol Biol       Date:  2006-11-27       Impact factor: 1.405

4.  Discovering multiple realistic TFBS motifs based on a generalized model.

Authors:  Tak-Ming Chan; Gang Li; Kwong-Sak Leung; Kin-Hong Lee
Journal:  BMC Bioinformatics       Date:  2009-10-07       Impact factor: 3.169

Review 5.  A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data.

Authors:  Ngoc Tam L Tran; Chun-Hsi Huang
Journal:  Biol Direct       Date:  2014-02-20       Impact factor: 4.540

Review 6.  Review of Different Sequence Motif Finding Algorithms.

Authors:  Fatma A Hashim; Mai S Mabrouk; Walid Al-Atabany
Journal:  Avicenna J Med Biotechnol       Date:  2019 Apr-Jun
  6 in total

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