Difference between revisions of "EDTA"
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| − | [[Category:Software]][[Category: | + | [[Category:Software]][[Category:Genomics]] |
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|{{#vardefine:testing|}} <!--PROFILING--> | |{{#vardefine:testing|}} <!--PROFILING--> | ||
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| − | |{{#vardefine:citation|}} <!--CITATION--> | + | |{{#vardefine:citation|1}} <!--CITATION--> |
|{{#vardefine:installation|}} <!--INSTALLATION--> | |{{#vardefine:installation|}} <!--INSTALLATION--> | ||
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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, | + | 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. |
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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_{{ | + | * HPC_{{uc:{{#var:app}}}}_DIR - installation directory |
| − | * HPC_{{ | + | * HPC_{{uc:{{#var:app}}}}_BIN - executable directory |
<!--Configuration--> | <!--Configuration--> | ||
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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: | ||
| − | + | [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
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: