detectMITE protocols

View detectMITE computational protocol

detectMITE statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Transposable element prediction chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

detectMITE specifications

Information


Unique identifier OMICS_11825
Name detectMITE
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

Download


Versioning


Add your version

Documentation


Maintainer


  • person_outline Chun Liang <>

Publication for detectMITE

detectMITE in pipeline

2017
PMCID: 5454002
PMID: 28572566
DOI: 10.1038/s41598-017-02855-1

[…] verified by our col dataset. while the actual false positive rate for this discovery analysis of novel mite sequences is unknown, we have attempted to minimize the number of false positives by using detectmite since differently from other similar tool, detectmite incorporates multiple methods to minimize false positives.table 1 figure 2 , studying the distribution of mites may reveal […]


To access a full list of citations, you will need to upgrade to our premium service.

detectMITE in publication

PMCID: 5454002
PMID: 28572566
DOI: 10.1038/s41598-017-02855-1

[…] as unclassified mites, if not found associated with any record in the p-mite database using sequence similarity search., the canonical mite sequences of the 19 accessions were separately detected by detectmite, a tool developed by us recently. the detectmite program requires the canonical mite sequences to meet the structural constraint (perfect tsds and mostly perfect tirs) and the copy number […]


To access a full list of publications, you will need to upgrade to our premium service.

detectMITE institution(s)
Department of Automation, Xiamen University, Xiamen, Fujian, China; Department of Biology, Miami University, Oxford, OH, USA; Innovation Center for Cell Biology, Xiamen University, Xiamen, Fujian, China
detectMITE funding source(s)
This work was supported, in part, by Committee on Faculty Research program, the Office for the Advancement of Research & Scholarship, Miami University, USA, and the National Natural Science Foundation of China (No.61573296), the Specialized Research Fund for the Doctoral Program of Higher Education of China (No. 20130121130004), and the Fundamental Research Funds for the Central Universities in China (Xiamen University: Nos. 2013121025, 201412G009, and 2014X0234).

detectMITE reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review detectMITE