tutorial arrow
×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

PASTEC

Online

Classifies transposable elements (TEs) by searching for structural features and similarities. PASTEC, developed in the REPET package, allows to classify TEs automatically to order level, for all nine orders of autonomous TEs defined in Wicker’s classification plus three orders of non-autonomous TEs (LARD, TRIM and MITE). The software is also designed to filter out false-positive repeated sequences identified by de novo approaches and to classify and recognize incomplete and potentially chimeric TEs.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible

0 user reviews

0 user reviews

No review has been posted.

PASTEC forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.

No open topic.

PASTEC 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.

No versioning.

PASTEC classification

PASTEC specifications

Software type:
Package/Module
Restrictions to use:
None
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux
Version:
1.0
Source code URL:
https://urgi.versailles.inra.fr/download/repet/PASTEClassifier-1.0.tar.gz

PASTEC support

Maintainer

  • Hadi Quesneville <>

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.

Publications

Institution(s)

INRA, UR1164 URGI - Research Unit in Genomics-Info, Versailles, France; INRA, plateforme Bio-informatique Genotoul, Mathematiques et Informatique Appliquees Toulouse, Castanet-Tolosan, France; INRA, LUNAM Universite, Oniris, UMR1300 BioEpAR, Nantes, France

Funding source(s)

Supported by a grant from the French National Research. Agency (ANR-08-KBBE-012-02).

Link to literature

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.