mit-o-matic statistics

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Citations per year

Number of citations per year for the bioinformatics software tool mit-o-matic
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Tool usage distribution map

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Associated diseases

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Popular tool citations

chevron_left Mitochondrial DNA data processing chevron_right
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Protocols

mit-o-matic specifications

Information


Unique identifier OMICS_09665
Name mit-o-matic
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Parallelization MapReduce
Computer skills Advanced
Stability Stable
High performance computing Yes
Maintained Yes

Taxon


  • Primates
    • Homo sapiens

Versioning


No version available

Maintainer


  • person_outline Vinod Scaria

Publication for mit-o-matic

mit-o-matic citations

 (2)
call_split

A comprehensive collection of annotations to interpret sequence variation in human mitochondrial transfer RNAs

2016
BMC Bioinformatics
PMCID: 5123245
PMID: 28185569
DOI: 10.1186/s12859-016-1193-4
call_split See protocol

[…] hough not specific for mtDNA analysis, were used to provide annotations for three mitochondrial mutations involving genes coding for an rRNA, a tRNA and a protein, respectively. Web-based versions of mit-o-matic [], MitoBamAnnotator [] and MitImpact 2.0 [] tools were also applied to the same mutations to compare their performance in variant annotation. […]

library_books

Resources, challenges and way forward in rare mitochondrial diseases research

2015
F1000Res
PMCID: 4490798
PMID: 26180633
DOI: 10.5256/f1000research.6657.r8964

[…] a few. Analysis pipelines and platforms have also been developed, including the MtSNPscore which assesses the role of variation in context of disease association using a combined evidence approach , Mit-o-matic, an analysis pipeline for clinical evaluation of mitochondrial variations from the NGS datasets . More recently, the United Mitochondria Disease Foundation (UMDF) ( http://www.umdf.org/sit […]


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mit-o-matic institution(s)
Genomics and Molecular Medicine, CSIR Institute of Genomics and Integrative Biology, Delhi, India; GN Ramachandran Knowledge Center for Genome Informatics, CSIR Institute of Genomics and Integrative Biology, Delhi, India; CSIR Open Source Drug Discovery Unit, Delhi, India; Department of Biotechnology, Delhi Technological University, Delhi, India; Academy of Scientific and Innovative Research (AcSIR), Anusandhan Bhawan, Delhi, India
mit-o-matic funding source(s)
Council of Scientific and Industrial Research (CSIR), India (grant no. BSC0122–CARDIOMED)

mit-o-matic review

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Arup Ghosh

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