miRNAfe specifications

Unique identifier:
OMICS_14663
Restrictions to use:
Academic or non-commercial use
Input format:
FASTA
Output format:
TXT, CSV
Computer skills:
Basic
Stability:
Stable
Interface:
Web user interface
Input data:
The RNA sequences and the selected features.
Output data:
A comma-separated-value file with the extracted features, a SVM-based prediction.
Programming languages:
MATLAB
Version:
0.9
Maintained:
Yes

miRNAfe specifications

Unique identifier:
OMICS_14663
Interface:
Command line interface
Input data:
The RNA sequences, a configuration file written in yaml containing folding options, alignment parameters to make phylogenetic related 200 tests, a list of features to extract, and a post-process options such as normalization or sequence filtering by minimum free energy.
Output data:
A comma-separated-value file with the extracted features and a SVM-based prediction.
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Version:
0.90
Requirements:
Vienna RNA, ClustalΩ, PHAST, Bowtie
Software type:
Package/Module
Restrictions to use:
Academic or non-commercial use
Input format:
FASTA
Output format:
TXT, CSV
Programming languages:
MATLAB
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes

versioning

tutorial arrow
×
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

miRNAfe distribution

download

miRNAfe support

Maintainer

forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship

Publications

Institution(s)

Research Center for Signals, Systems and Computational Intelligence, sinc(i), FICH-UNL, CONICET, Ciudad Universitaria UNL, Santa Fe, Argentina; Instituto de Investigaciones en Microbiologia y Parasitologia Médica (UBA), CONICET, Paraguay, Buenos Aires, Argentina

Funding source(s)

This work was supported by National Scientific and Technical Research Council (PIP 2013 117), National University of Litoral (CAI+D 2011 548) and Agencia Nacional de Promocion Cientifica y Tecnologica (ANPCyT) (PICT 2014 280 2627).

User review

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

No review has been posted.

User review

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

No review has been posted.

Related Tools