MySSP statistics

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Citations per year

Number of citations per year for the bioinformatics software tool MySSP
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Tool usage distribution map

This map represents all the scientific publications referring to MySSP per scientific context
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Associated diseases

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Popular tool citations

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MySSP specifications

Information


Unique identifier OMICS_15370
Name MySSP
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Windows
Programming languages Pascal
Computer skills Advanced
Stability Stable
Maintained Yes

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Versioning


No version available

Documentation


Maintainer


  • person_outline Michael Rosenberg

Publication for MySSP

MySSP citations

 (2)
library_books

Evaluating the Accuracy and Efficiency of Multiple Sequence Alignment Methods

2014
Evol Bioinform Online
PMCID: 4267518
PMID: 25574120
DOI: 10.4137/EBO.S19199

[…] not support the feature of root sequence as an input, the conservation of motifs or modifying amino acid frequencies among subsequences. It also does not generate alignments for nucleotide sequences. MySSP simulates DNA sequences using different models of DNA evolution such as Jukes-Cantor, Kimura two-parameter, equal input, and Hasegawa–Kishino–Yano. It incorporates the features of indels, nonsta […]

library_books

The accuracy of several multiple sequence alignment programs for proteins

2006
BMC Bioinformatics
PMCID: 1633746
PMID: 17062146
DOI: 10.1186/1471-2105-7-471

[…] lgorithms can potentially be developed and tuned to the alignments present solely in these data sets.Recently there have been several DNA sequence simulation packages that incorporate indels, such as MySSP [] and DAWG []. MySSP has been widely used in different studies of phylogenetic inference and evolutionary distance estimation coupled with DNA alignment accuracy [,]. For proteins, Lassmann and […]


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MySSP institution(s)
Center for Evolutionary Functional Genomics and the School of Life Sciences, Arizona State University, Tempe, AZ, USA
MySSP funding source(s)
This work is partially supported by NIH R03-LM008637 and Arizona State University.

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