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Popular tool citations

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Associated diseases

Associated diseases

MAVisto specifications

Information


Unique identifier OMICS_05014
Name MAVisto
Software type Package/Module
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Java
Computer skills Medium
Stability Stable
Maintained Yes

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Publication for MAVisto

MAVisto in publications

 (13)
PMCID: 5907309
PMID: 29671392
DOI: 10.1186/s12918-018-0533-6

[…] vectors. sis [] finds subgraphs with the largest probability to appear in a set of biological networks. most of these methods only focus on the f1 count of the patterns (e.g., [–]). others such as mavisto [] computes both f2 and f3 counts of motifs., elhesha et al. [] finds the f2 count of large motifs in a biological network by first computing the f2 counts of 4 basic motifs and then joining […]

PMCID: 5657038
PMID: 29072139
DOI: 10.1186/s12859-017-1822-6

[…] them is intractable. as an example, there are 11,716,571 patterns for motif size 10, as shown in table  table 1 , many motif search programs are also available []: mfinder [], fanmod [], kavosh [], mavisto [], and nemofinder [] follow the network-centric methods. motif-centric methods are available with grochow’s [], and moda []. however, most of them provide only frequency and statistical […]

PMCID: 4519280
PMID: 26222778
DOI: 10.1371/journal.pone.0133901

[…] recognize the modularity and to solve large-scale structure of complicated biological networks was facilitated from complex crc disease pathway. a variety of motif detection tools like mfinder [], mavisto [] and fanmod [] were employed to identify motifs; where all these tools implement different algorithms. mfinder uses a semi-dynamic programming algorithm in order to reduce the run time […]

PMCID: 4403903
PMID: 25983553
DOI: 10.4137/BBI.S23619

[…] created by rasche and wernicke, uses an algorithm called rand-esu in order to enumerate and sample subgraphs in given networks. this algorithm is faster than its competitors such as mfinder and mavisto in attempting to accomplish the same task., network motif detection with fanmod involves three main steps: search the input network for subgraphs and determine how often each subgraph […]

PMCID: 4182533
PMID: 25268122
DOI: 10.1371/journal.pone.0108624

[…] time grows exponentially with graph dimension, small motifs comprising three or four nodes are usually analysed . several tools have been developed to identify network motifs, such as mfinder , mavisto , fanmod . a well established tool developed for network motif search is mfinder . beginning with a selected edge, mfinder searches for all the subgraphs of a given dimension comprising it. […]


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MAVisto institution(s)
SunGene GmbH, Gatersleben, Germany

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