/run_dbcan

Run_dbcan V4, using genomes/metagenomes/proteomes of any assembled organisms (prokaryotes, fungi, plants, animals, viruses) to search for CAZymes.

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

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run_dbcan - Standalone Tool of dbCAN3

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Introduction

run_dbcan is the standalone version of the dbCAN3 annotation tool for automated CAZyme annotation. This tool, known as run_dbcan, incorporates HMMER, Diamond, and dbCAN_sub for annotating CAZyme families, and integrates Cazyme Gene Clusters (CGCs) and substrate predictions.

For usage discussions, visit our issue tracker. To learn more, read the dbcan doc. If you're interested in contributing, whether through issues or pull requests, please review our contribution guide.

Reference

Please cite the following dbCAN publications if you use run_dbcan in your research:

dbCAN3: automated carbohydrate-active enzyme and substrate annotation

Jinfang Zheng, Qiwei Ge, Yuchen Yan, Xinpeng Zhang, Le Huang, Yanbin Yin,

Nucleic Acids Research, 2023;, gkad328, doi: 10.1093/nar/gkad328.

dbCAN2: a meta server for automated carbohydrate-active enzyme annotation

Han Zhang, Tanner Yohe, Le Huang, Sarah Entwistle, Peizhi Wu, Zhenglu Yang, Peter K Busk, Ying Xu, Yanbin Yin

Nucleic Acids Research, Volume 46, Issue W1, 2 July 2018, Pages W95–W101, doi: 10.1093/nar/gky418.

dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation

Le Huang, Han Zhang, Peizhi Wu, Sarah Entwistle, Xueqiong Li, Tanner Yohe, Haidong Yi, Zhenglu Yang, Yanbin Yin

Nucleic Acids Research, Volume 46, Issue D1, 4 January 2018, Pages D516–D521, doi: 10.1093/nar/gkx894*.