4.8 Article

The gutSMASH web server: automated identification of primary metabolic gene clusters from the gut microbiota

期刊

NUCLEIC ACIDS RESEARCH
卷 49, 期 W1, 页码 W263-W270

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab353

关键词

-

资金

  1. Chan-Zuckerberg Biohub
  2. DARPA [HR0011-15-C-0084, HR0112020030]
  3. NIH [R01 DK101674, DP1 DK113598, P01 HL147823, K08 DK110335]
  4. Leducq Foundation
  5. European Research Council Starting Grant [948770-DECIPHER]
  6. Wageningen University

向作者/读者索取更多资源

The gutSMASH web server, developed to analyze the metabolic potential of gut microbiomes, predicts known and novel pathways by predicting gene clusters. Users can easily upload files for analysis and obtain detailed results.
Anaerobic bacteria from the human microbiome produce a wide array of molecules at high concentrations that can directly or indirectly affect the host. The production of these molecules, mostly derived from their primary metabolism, is frequently encoded in metabolic gene clusters (MGCs). However, despite the importance of microbiome-derived primary metabolites, no tool existed to predict the gene clusters responsible for their production. For this reason, we recently introduced gutSMASH. gutSMASH can predict 41 different known pathways, including MGCs involved in bioenergetics, but also putative ones that are candidates for novel pathway discovery. To make the tool more user-friendly and accessible, we here present the gutSMASH web server, hosted at https://gutsmash.bioinformatics.nl/. The user can either input the GenBank assembly accession or upload a genome file in FASTA or GenBank format. Optionally, the user can enable additional analyses to obtain further insights into the predicted MGCs. An interactive HTML output (viewable online or downloadable for offline use) provides a user-friendly way to browse functional gene annotations and sequence comparisons with reference gene clusters as well as gene clusters predicted in other genomes. Thus, this web server provides the community with a streamlined and user-friendly interface to analyze the metabolic potential of gut microbiomes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据