Literature DB >> 11747615

Computational complexity of multiple sequence alignment with SP-score.

W Just1.   

Abstract

It is shown that the multiple alignment problem with SP-score is NP-hard for each scoring matrix in a broad class M that includes most scoring matrices actually used in biological applications. The problem remains NP-hard even if sequences can only be shifted relative to each other and no internal gaps are allowed. It is also shown that there is a scoring matrix M(0) such that the multiple alignment problem for M(0) is MAX-SNP-hard, regardless of whether or not internal gaps are allowed.

Mesh:

Year:  2001        PMID: 11747615     DOI: 10.1089/106652701753307511

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  13 in total

1.  Using the T-Coffee package to build multiple sequence alignments of protein, RNA, DNA sequences and 3D structures.

Authors:  Jean-Francois Taly; Cedrik Magis; Giovanni Bussotti; Jia-Ming Chang; Paolo Di Tommaso; Ionas Erb; Jose Espinosa-Carrasco; Carsten Kemena; Cedric Notredame
Journal:  Nat Protoc       Date:  2011-11       Impact factor: 13.491

Review 2.  Computational methods in noncoding RNA research.

Authors:  Ariane Machado-Lima; Hernando A del Portillo; Alan Mitchell Durham
Journal:  J Math Biol       Date:  2007-09-04       Impact factor: 2.259

3.  Generic Repeat Finder: A High-Sensitivity Tool for Genome-Wide De Novo Repeat Detection.

Authors:  Jieming Shi; Chun Liang
Journal:  Plant Physiol       Date:  2019-05-31       Impact factor: 8.340

4.  Homolog detection using global sequence properties suggests an alternate view of structural encoding in protein sequences.

Authors:  Harold A Scheraga; S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-24       Impact factor: 11.205

5.  Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences.

Authors:  Marika Kaden; Katrin Sophie Bohnsack; Mirko Weber; Mateusz Kudła; Kaja Gutowska; Jacek Blazewicz; Thomas Villmann
Journal:  Neural Comput Appl       Date:  2021-04-27       Impact factor: 5.606

6.  Ancestral sequence alignment under optimal conditions.

Authors:  Alexander K Hudek; Daniel G Brown
Journal:  BMC Bioinformatics       Date:  2005-11-17       Impact factor: 3.169

7.  Lower bounds on multiple sequence alignment using exact 3-way alignment.

Authors:  Charles J Colbourn; Sudhir Kumar
Journal:  BMC Bioinformatics       Date:  2007-04-30       Impact factor: 3.169

8.  Fast discovery and visualization of conserved regions in DNA sequences using quasi-alignment.

Authors:  Anurag Nagar; Michael Hahsler
Journal:  BMC Bioinformatics       Date:  2013-09-13       Impact factor: 3.169

9.  QuickProbs--a fast multiple sequence alignment algorithm designed for graphics processors.

Authors:  Adam Gudyś; Sebastian Deorowicz
Journal:  PLoS One       Date:  2014-02-25       Impact factor: 3.240

10.  ReformAlign: improved multiple sequence alignments using a profile-based meta-alignment approach.

Authors:  Dimitrios P Lyras; Dirk Metzler
Journal:  BMC Bioinformatics       Date:  2014-08-07       Impact factor: 3.169

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