SeqWiz: a modularized toolkit for next-generation protein sequence database management and analysis

• Published in: BMC bioinformatics 2023-05, Vol.24 (1), p.201-201, Article 201
• Main Authors: Zhang, Ping, Wang, Min, Zhou, Tao, Chen, Daozhen
• Format: Article
• Language: English
• Subjects: Amino acid sequence; Amino acids; Analysis; Animal behavior; Applications software; Basic converters; Databases, Nucleic Acid; Databases, Protein; Format; Knowledge bases (artificial intelligence); Methods; Next-generation sequencing; Peptides; Programming languages; Protein sequence database; Proteins; Proteomics; Resource consumption; Search engines; Sequence Analysis; Sequence format; Sequence processing; Sequence variation; Small open reading frame; Software; Standardization; Taxonomy; Toolkits; User interface; Vocabularies & taxonomies
• ISSN: 1471-2105; 1471-2105
• DOI: 10.1186/s12859-023-05334-9

Current proteomic technologies are fast-evolving to uncover the complex features of sequence processes, variations and modifications. Thus, protein sequence database and the corresponding softwares should also be improved to solve this issue. We developed a state-of-the-art toolkit (SeqWiz) for constructing next-generation sequence databases and performing proteomic-centric sequence analyses. First, we proposed two derived data formats: SQPD (a well-structured and high-performance local sequence database based on SQLite), and SET (an associated list of selected entries based on JSON). The SQPD format follows the basic standards of the emerging PEFF format, which also aims to facilitate the search of complex proteoform. The SET format is designed for generating subsets with with high-efficiency. These formats are shown to greatly outperform the conventional FASTA or PEFF formats in time and resource consumption. Then, we mainly focused on the UniProt knowledgebase and developed a collection of open-source tools and basic modules for retrieving species-specific databases, formats conversion, sequence generation, sequence filter, and sequence analysis. These tools are implemented by using the Python language and licensed under the GNU General Public Licence V3. The source codes and distributions are freely available at GitHub ( https://github.com/fountao/protwiz/tree/main/seqwiz ). SeqWiz is designed to be a collection of modularized tools, which is friendly to both end-users for preparing easy-to-use sequence databases as well as bioinformaticians for performing downstream sequence analysis. Besides the novel formats, it also provides compatible functions for handling the traditional text based FASTA or PEFF formats. We believe that SeqWiz will promote the implementing of complementary proteomics for data renewal and proteoform analysis to achieve precision proteomics. Additionally, it can also drive the improvement of proteomic standardization and the development of next-generation proteomic softwares.