Supporting data for "ANNOgesic: A Swiss army knife for the RNA-Seq based annotation of bacterial/archaeal genomes"

To understand the gene regulation of an organism of interest, a comprehensive genome annotation is essential. While some features, such as coding sequences, can be computationally predicted with high accuracy based purely on the genomic sequence, others, such as promoter elements or non-coding RNAs are harder to detect. RNA-Seq has proven to be an efficient method to identify these genomic features and to improve genome annotations. However, processing and integrating RNA-Seq data in order to generate high-resolution annotations is challenging, time consuming and requires numerous different steps. We have constructed a powerful and modular tool called ANNOgesic that provides the required analyses and simplifies RNA-Seq-based bacterial and archaeal genome annotation. It can integrate data from conventional RNA-Seq and dRNA-Seq, predicts and annotates numerous features, including small non-coding RNAs, with high precision. The software is available under an open source license (ISCL) at https://pypi.org/project/ANNOgesic/.

Keywords:

• genome annotation
• rna-seq
• transcriptomics

Read the peer-reviewed publication(s):

• Yu, S.-H., Vogel, J., & Förstner, K. U. (2018). ANNOgesic: a Swiss army knife for the RNA-seq based annotation of bacterial/archaeal genomes. GigaScience, 7(9). https://doi.org/10.1093/gigascience/giy096 (PubMed:30169674)

Additional information:

https://github.com/Sung-Huan/ANNOgesic

https://pypi.org/project/ANNOgesic/

http://annogesic.readthedocs.io/en/latest/subcommands.html

http://annogesic.readthedocs.io/en/latest/required.html

https://hub.docker.com/r/silasysh/annogesic/