Speeding Up the DIALIGN Multiple Alignment Program by Using the ‘Greedy Alignment of BIOlogical Sequences LIBrary’ (GABIOS-LIB)

2001 ◽  
pp. 1-11 ◽  
Author(s):  
Saïd Abdeddaïm ◽  
Burkhard Morgenstern
Keyword(s):  
Multiple Alignment ◽  
Biological Sequences ◽  
Alignment Program

scholarly journals Hardness Results on Local Multiple Alignment of Biological Sequences

2007 ◽  
Vol 3 ◽  
pp. 174-182 ◽  
Author(s):  
Tatsuya Akutsu ◽  
Hiroki Arimura ◽  
Shinichi Shimozono
Keyword(s):  
Multiple Alignment ◽  
Biological Sequences

MASH: an interactive program for multiple alignment and consensus sequence construction for biological sequences

1991 ◽  
Vol 7 (2) ◽  
pp. 195-202
Author(s):  
C. Chappey ◽  
A. Danckaert ◽  
P. Dessen ◽  
S. Hazout
Keyword(s):  
Consensus Sequence ◽  
Multiple Alignment ◽  
Interactive Program ◽  
Biological Sequences

Positive and negative regulatory elements of the rabbit embryonic ϵ-globin gene revealed by an improved multiple alignment program and functional analysis

DNA Sequence ◽  
1993 ◽  
Vol 4 (3) ◽  
pp. 163-176 ◽  
Author(s):  
Ross Hardison ◽  
Kun-Mao Chao ◽  
Michael Adamkiewicz ◽  
Doug Price ◽  
John Jackson ◽  
...  
Keyword(s):  
Functional Analysis ◽  
Globin Gene ◽  
Regulatory Elements ◽  
Multiple Alignment ◽  
Alignment Program

A multiple alignment program for protein sequences

1987 ◽  
Vol 3 (2) ◽  
pp. 111-114 ◽  
Author(s):  
M. Santibánez ◽  
K. Rohde
Keyword(s):  
Protein Sequences ◽  
Multiple Alignment ◽  
Alignment Program

scholarly journals SQUINT: a multiple alignment program and editor

2007 ◽  
Vol 23 (12) ◽  
pp. 1553-1555 ◽  
Author(s):  
M. G. Goode ◽  
A. G. Rodrigo
Keyword(s):  
Multiple Alignment ◽  
Alignment Program

Fast and Sound Two-Step Algorithms for Multiple Alignment of Nucleic Sequences

1997 ◽  
Vol 06 (02) ◽  
pp. 179-192 ◽  
Author(s):  
Said Abdeddaim
Keyword(s):  
High Efficiency ◽  
Multiple Alignment ◽  
Efficient Algorithms ◽  
Biological Sequences

We report here on our work on multiple alignment of biological sequences. The observation of actual alignments has lead us to formulate heuristics from which we have derived new and efficient algorithms. These two algorithms are very fast and give reasonably good results. They work in two steps: blocks are found in the sequences, and then the sequences are aligned between the blocks. Strong and sound hypotheses made at every step, as well as a new representation of blocks, yield high efficiency of the resulting algorithms.

A Heuristic Method Based on Multi-Objective Optimization Concept for Solving RNA Multiple Alignment

2017 ◽  
Vol 10 (5) ◽  
pp. 371
Author(s):  
Arakil Chentoufi ◽  
Abdelhakim El Fatmi ◽  
Molay Ali Bekri ◽  
Said Benhlima ◽  
Mohamed Sabbane
Keyword(s):  
Heuristic Method ◽  
Multiple Alignment ◽  
Multi Objective Optimization ◽  
Multi Objective

A Brief Review on Software Tools in Generating Chou’s Pseudo-factor Representations for All Types of Biological Sequences

2018 ◽  
Vol 25 (9) ◽  
pp. 822-829 ◽  
Author(s):  
Wei Zhao ◽  
Likun Wang ◽  
Tian-Xiang Zhang ◽  
Ze-Ning Zhao ◽  
Pu-Feng Du
Keyword(s):  
Software Tools ◽  
Biological Sequences
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