Accepted_test

iSeq: An Integrated Tool to Fetch Public Sequencing Data
by Haoyu Chao | Ming Chen | Dijun Chen | Zhuojin Li | Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China | Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China | Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China | Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
Abstract ID: 196
Event: BGRS-abstracts
Sections: [Sym 12] Section “Systems theory, big biological data analysis, ontologies and artificial intelligence”

The abstract provides a concise overview of the key findings and contributions of the study titled "iSeq: An Integrated Tool to Fetch Public Sequencing Data." The study introduces iSeq, a Bash script designed to facilitate the retrieval of sequencing data and metadata from various bioinformatics databases, including GSA, SRA, ENA, and DDBJ. Leveraging iSeq's capabilities, researchers can efficiently access a wide range of genomic datasets for diverse biological investigations.

The study highlights several noteworthy features of iSeq, including its support for multiple database formats, compatibility with various accession formats, and functionality for downloading both sequencing data and metadata. Additionally, iSeq offers versatile options for data retrieval, such as direct download of gzip-formatted FASTQ files, multi-threaded processes, and parallel downloads. The tool's flexibility and ease of use make it a valuable resource for researchers seeking to access and analyze public sequencing data for their studies.

Furthermore, the abstract mentions the study's methodology, which involves detailed descriptions of iSeq's pipeline and installation process. The study also provides usage examples and command-line options for utilizing iSeq effectively. Overall, the abstract provides a comprehensive overview of iSeq's capabilities and its potential impact on facilitating genomic research by enabling seamless access to public sequencing data.