EDTA: Difference between revisions

From UFRC
Jump to navigation Jump to search
Maxprok (talk | contribs)
Created page with "Category:SoftwareCategory:Phylogenetics {|<!--CONFIGURATION: REQUIRED--> |{{#vardefine:app|edta}} |{{#vardefine:url|https://github.com/oushujun/EDTA}} <!--CONFIGURATIO..."
 
No edit summary
 
(3 intermediate revisions by 3 users not shown)
Line 1: Line 1:
[[Category:Software]][[Category:Phylogenetics]]
[[Category:Software]][[Category:Genomics]]
{|<!--CONFIGURATION: REQUIRED-->
{|<!--CONFIGURATION: REQUIRED-->
|{{#vardefine:app|edta}}
|{{#vardefine:app|edta}}
Line 10: Line 10:
|{{#vardefine:testing|}}      <!--PROFILING-->
|{{#vardefine:testing|}}      <!--PROFILING-->
|{{#vardefine:faq|}}            <!--FAQ-->
|{{#vardefine:faq|}}            <!--FAQ-->
|{{#vardefine:citation|}}      <!--CITATION-->
|{{#vardefine:citation|1}}      <!--CITATION-->
|{{#vardefine:installation|}} <!--INSTALLATION-->
|{{#vardefine:installation|}} <!--INSTALLATION-->
|}
|}
Line 24: Line 24:
The EDTA package was designed to filter out false discoveries in raw TE candidates and generate a high-quality non-redundant TE library for whole-genome TE annotations. Selection of initial search programs were based on benckmarkings on the annotation performance using a manually curated TE library in the rice genome.
The EDTA package was designed to filter out false discoveries in raw TE candidates and generate a high-quality non-redundant TE library for whole-genome TE annotations. Selection of initial search programs were based on benckmarkings on the annotation performance using a manually curated TE library in the rice genome.


For benchmarking of a testing TE library, I have provided the curated TE annotation (v6.9.5) for the rice genome (TIGR7/MSU7 version). You may use the lib-test.pl script to compare the annotation performance of your method/library to the methods we have tested (usage shown below).
For benchmarking of a testing TE library, a curated TE annotation (v6.9.5) is provided for the rice genome (TIGR7/MSU7 version). You may use the lib-test.pl script to compare the annotation performance of your method/library to the already tested methods.


<!--Modules-->
<!--Modules-->
Line 30: Line 30:
Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application.
Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application.
==System Variables==
==System Variables==
* HPC_{{#uppercase:{{#var:app}}}}_DIR - installation directory
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
* HPC_{{#uppercase:{{#var:app}}}}_BIN - executable directory
* HPC_{{uc:{{#var:app}}}}_BIN - executable directory


<!--Configuration-->
<!--Configuration-->
Line 66: Line 66:
If you publish research that uses {{#var:app}} you have to cite it as follows:
If you publish research that uses {{#var:app}} you have to cite it as follows:


WRITE_CITATION_HERE
[https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1905-y Ou S., Su W., Liao Y., Chougule K., Agda J. R. A., Hellinga A. J., Lugo C. S. B., Elliott T. A., Ware D., Peterson T., Jiang N.✉, Hirsch C. N.✉ and Hufford M. B.✉ (2019). Benchmarking Transposable Element Annotation Methods for Creation of a Streamlined, Comprehensive Pipeline. Genome Biol. 20(1): 275.]


|}}
|}}

Latest revision as of 21:27, 14 September 2023

Description

edta website  

This package is developed for automated whole-genome de-novo TE annotation and benchmarking the annotation performance of TE libraries.

For the initial search of TE candidates, LTRharvest, LTR_FINDER_parallel, and LTR_retriever are incorporated in this package to identify LTR retrotransposons; GenericRepeatFinder, TIR-Learner, and MITE-Hunter are incorporated in this package to identify TIR transposons (a subclass of DNA transposons); HelitronScanner is incorporated in this package to identify Helitron transposons (a subclass of DNA transposons); and finally RepeatModeler is used to identify any TEs missed by these structure-based programs (such as SINEs and LINEs).

The EDTA package was designed to filter out false discoveries in raw TE candidates and generate a high-quality non-redundant TE library for whole-genome TE annotations. Selection of initial search programs were based on benckmarkings on the annotation performance using a manually curated TE library in the rice genome.

For benchmarking of a testing TE library, a curated TE annotation (v6.9.5) is provided for the rice genome (TIGR7/MSU7 version). You may use the lib-test.pl script to compare the annotation performance of your method/library to the already tested methods.

Environment Modules

Run module spider edta to find out what environment modules are available for this application.

System Variables

  • HPC_EDTA_DIR - installation directory
  • HPC_EDTA_BIN - executable directory




Citation

If you publish research that uses edta you have to cite it as follows:

Ou S., Su W., Liao Y., Chougule K., Agda J. R. A., Hellinga A. J., Lugo C. S. B., Elliott T. A., Ware D., Peterson T., Jiang N.✉, Hirsch C. N.✉ and Hufford M. B.✉ (2019). Benchmarking Transposable Element Annotation Methods for Creation of a Streamlined, Comprehensive Pipeline. Genome Biol. 20(1): 275.