Mining public genomic databases for novel lanthipeptides: a case study on <i>Bacillus amyloliquefaciens</i>-Reference-Cited by-同舟云学术

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Mining public genomic databases for novel lanthipeptides: a case study on Bacillus amyloliquefaciens

Published:2024-09-13 Issue:1 Volume:38 Page:
ISSN:1310-2818
Container-title:Biotechnology & Biotechnological Equipment
language:en
Short-container-title:Biotechnology & Biotechnological Equipment

Author:

Zhao Wenya¹²,Zhang Yang¹²,Yang Xue¹²,He Jianuo¹²,Wang Yana¹²,Zhang Feiyan¹²,Zhang Liping¹²,Liu Hongwei¹²

Affiliation:

1. Institute of Biology, Hebei Academy of Science, Shijiazhuang, P.R. China

2. Main Crops Disease of Microbial Control Engineering Technology Research Center in Hebei Province, Shijiazhuang, P.R. China

Funder

Province Key R&D Program of Hebei

Basal Research Fund of Hebei Academy of Sciences

Science and technology planning project of Hebei Academy of Sciences

High-level talents training and funding projects of Hebei academy of sciences

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13102818.2024.2402447

Reference36 articles.

1. RNA-Seq: a revolutionary tool for transcriptomics

2. antiSMASH 3.0-a comprehensive resource for the genome mining of biosynthetic gene clusters;Tilmann W;Nucleic Acids Res,2015

3. Genome mining for unknown–unknown natural products

4. antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures, and visualisation;Kai B;Nucleic Acids Res,2023

5. BAGEL3: automated identification of genes encoding bacteriocins and (non-)bactericidal posttranslationally modified peptides

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