Literature DB >> 18180239

FAST: Fourier transform based algorithms for significance testing of ungapped multiple alignments.

Niranjan Nagarajan1, Uri Keich.   

Abstract

SUMMARY: As was shown in Nagarajan et al. (2005), commonly used approximations for assessing the significance of multiple alignments can be be very inaccurate. To address this, we present here the FAST package, an open-source collection of programs and libraries for efficiently and reliably computing the significance of ungapped local alignments. We also describe other potential applications in Bioinformatics where these programs can be adapted for significance testing. AVAILABILITY: The FAST package includes C++ implementations of various algorithms that can be used as stand-alone programs or as a library of subroutines. The package and a web-server for some of the programs are available at www.cs.cornell.edu/~keich/FAST.

Mesh:

Year:  2008        PMID: 18180239     DOI: 10.1093/bioinformatics/btm594

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

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2.  A linear-time algorithm that avoids inverses and computes Jackknife (leave-one-out) products like convolutions or other operators in commutative semigroups.

Authors:  John L Spouge; Joseph M Ziegelbauer; Mileidy Gonzalez
Journal:  Algorithms Mol Biol       Date:  2020-09-19       Impact factor: 1.405

3.  Towards a theoretical understanding of false positives in DNA motif finding.

Authors:  Amin Zia; Alan M Moses
Journal:  BMC Bioinformatics       Date:  2012-06-27       Impact factor: 3.169

4.  Assessing the effects of symmetry on motif discovery and modeling.

Authors:  Lala M Motlhabi; Gary D Stormo
Journal:  PLoS One       Date:  2011-09-20       Impact factor: 3.240

  4 in total

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