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MultiMSOAR specifications


Unique identifier OMICS_16623
Name MultiMSOAR
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Version 2.0
Stability Stable
Maintained No


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Publications for MultiMSOAR

MultiMSOAR citations


The gene family free median of three

PMCID: 5446766
PMID: 28559921
DOI: 10.1186/s13015-017-0106-z

[…] on simulated data and genomic data acquired from the oma orthology database. in particular, ffadj-am performs equally or better when compared to the well-established gene family prediction tool multimsoar., we study the computational complexity of a new family-free model and present algorithms for its solution. with ffadj-am, we propose an appealing alternative to established tools […]


Orthology Detection Combining Clustering and Synteny for Very Large Datasets

PMCID: 4138177
PMID: 25137074
DOI: 10.1371/journal.pone.0105015

[…] sequence data., a large class of orthology detection tools therefore attempts to explicitly infer gene phylogenies and their reconciliation with species trees, e.g. orthology analysis using mcmc , multimsoar , loft , ensembl compara , and synergy . although this tree-based approach is often considered the most accurate, it suffers from high computational costs and is hence limited in practice […]


The Impact of Paralogy on Phylogenomic Studies – A Case Study on Annelid Relationships

PMCID: 3647064
PMID: 23667537
DOI: 10.1371/journal.pone.0062892

[…] values for the subcluster or clades within the cluster are not considered in this decision process. other orthology prediction programs using such a bottom-up approach are, e.g., orthomcl, remark or multimsoar 2.0 , , ., both procedures are very rigid in their orthology prediction, but in theory both can still erroneously assign paralogous sequences into a single ortholog cluster. this is due […]

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MultiMSOAR institution(s)
Department of Computer Science, University of California Riverside, Riverside, CA, USA
MultiMSOAR funding source(s)
Supported by National Science Foundation grant IIS-0711129.

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