It then analyzes the structure of sentences containing the terms of interest and presents the mining results in an easily human-readable format ("A2K Description"), making them straightforward to understand.
This significantly reduces the time and human effort required for information gathering, trend analysis, and document comprehension. A2K technology supports domain-specific text mining tailored to the life sciences field and other sectors such as policy, economics, intellectual property, and industry (Tasks A, B, and C). LA2K (life science A2K) technology has been developed for the life sciences field to automatically extract information on all genes mentioned in text (Tasks B and C).

This includes functional annotations (Tasks B, C), expression profiles under diverse experimental conditions (Tasks D, E, F), and gene family (homolog) data across and within species (Tasks G, H).

The gene function annotations (see here for details) are derived not only from traditional sequence similarity analysis but also from knowledge-based annotations obtained through WGI’s AI-driven literature text mining (LA2K technology). The functional information encompasses regulatory mechanisms (e.g., transcription factors and cis-elements), metabolic pathways, and responses to biotic and abiotic stress. The regulatory element data are generated from both AI-driven text mining and WGI’s integrated AI × bioinformatics prediction technologies (see here for details), with prediction accuracy depending on the species.

The gene expression data (see here for details) provide critical insights into gene function, offering not only expression levels but also metadata on biological samples (e.g., organs, developmental stages, varieties), environmental conditions, and experimental treatments. By analyzing expression profiles under various conditions, including spatiotemporal and treatment-specific expression, gene functions can be inferred.

Additionally, functional interpretation of candidate genes is supported by referencing gene family (homolog) biological information of homologs across species (see here for details), which includes associated functions, expression profiles, and regulatory mechanisms of each homolog.

Such information aids in the rational selection of target genes from candidate pools.

sing open-source tools, users can easily explore the network via intuitive mouse-based operations.

WGI also constructs gene networks based on similarities and reciprocities in gene expression profilings, transcription factors, and homologs sharing functional domains within and between species .
Moreover, by integrating knowledge-based functional information of genes (see here for details) —including gene functions, protein products, and metabolites of enzyme-encoding genes, —the networks gain depth, facilitating the discovery of biologically important genes.
(Integrated analysis of Task D, F, G, I, etc.)

→ Moreover, WGI systematically curates information on transcription factors and cis-elements by leveraging advanced AI-driven text mining approaches: LA2K technology(see here for details). (Task I)

→ WGI provides optimal gRNA designs with high genome editing efficiency through comprehensive genome sequence analysis(see here for details).(Task J)

By utilizing the information of gene family (homologs within intra- and across inter-species)(see here for details), it becomes possible to cross-reference gene information —including sequences, gene expression, regulatory mechanisms, metabolism, and associated traits— across divergent species.
Access to detailed information on homologs in well-studied species enables the inference of gene functions in non-model species used in research, thereby facilitating gene identification and promoting the successful application of genome editing.
(Task G, H, J, etc.)

→ Including delivering lectures, workshops, and hands-on training programs; organizing domestic and international seminars and research conferences; supporting the implementation of bioinformatics analysis infrastructure; and contributing to research project evaluations and grant acquisition efforts (see here for details).
WGI offers comprehensive support to researchers in the life sciences and related fields, as well as to individuals who wish to integrate bioinformatics or utilize results derived from bioinformatics analyses in their work. This support includes human resource development, expert advice on research planning, refinement of grant applications, and opportunities for collaborative research.
(Tasks such as K to O)

→ Support by WGI includes expert lectures, hands-on training, and application document review.
Support is provided in both Japanese and English.(see here for details)
(Task P)