This article was accepted into the corpus but its outbound wikilinks were never NER-processed — typical at the deepest BFS hop or when the run's entity cap was reached. No expansion funnel to show.
| GigaScience | |
|---|---|
| Title | GigaScience |
| Discipline | Bioinformatics; Genomics; Computational Biology |
| Abbreviation | GigaSci |
| Publisher | BGI; Oxford University Press |
| Country | China; United Kingdom |
| History | 2012–present |
| Frequency | Continuous |
| Issn | 2047-217X |
GigaScience is an open-access, peer-reviewed journal concentrating on large-scale biological and biomedical data, computational methods, and data-sharing infrastructures. Launched to address challenges in handling high-throughput sequencing, imaging, and sensor-derived datasets, it aims to integrate publication with data repositories and software resources. The journal sits at the intersection of major institutions and initiatives in genomics, bioinformatics, and e-science.
GigaScience was established in 2012 with founding links to BGI and collaborations involving stakeholders in high-throughput sequencing such as Illumina, Pacific Biosciences, and projects tied to the Human Genome Project community. Early editorial development drew on figures associated with Nature Biotechnology, Genome Research, and PLoS Biology editorial practices, while operational partnerships referenced infrastructures like European Bioinformatics Institute and National Center for Biotechnology Information. The journal's trajectory intersected with open-data movements exemplified by Creative Commons, Wellcome Trust, and Bill & Melinda Gates Foundation policies, and it evolved alongside computational platforms such as Galaxy (platform), CWL (Common Workflow Language), and Docker (software). Over time, publisher arrangements involved Oxford University Press and other academic publishers experienced in disseminating large-scale life-science outputs.
GigaScience publishes research that frequently references major projects and resources including 1000 Genomes Project, ENCODE Project, The Cancer Genome Atlas, and the Earth BioGenome Project. Article types encompass datasets from initiatives like Human Microbiome Project, metagenomic surveys akin to work by James Watson-era consortia, large-scale imaging like efforts at Allen Institute for Brain Science, and ecological sensor networks related to NEON (National Ecological Observatory Network). Methodological contributions tie to algorithmic work linked with groups at Broad Institute, Sanger Institute, and computational groups at Carnegie Mellon University and MIT; software papers often document implementations using frameworks associated with R (programming language), Python (programming language), and libraries related to Bioconductor and scikit-learn. The journal also publishes resource articles about repositories such as Dryad (repository), Zenodo, and domain-specific databases like Ensembl and UniProt. Interdisciplinary submissions connect to efforts at NASA-funded biosurveillance, conservation programs at World Wide Fund for Nature, and public-health initiatives involving World Health Organization.
GigaScience adopts a data-centric open-access model reflecting principles promoted by Open Data Commons, Open Knowledge Foundation, and funder mandates from National Institutes of Health and European Commission Horizon programs. Articles are expected to deposit primary data in recognized archives such as Sequence Read Archive, GenBank, and imaging stores like Image Data Resource, and to register software with platforms like GitHub and container registries popularized by Docker Hub. Licensing norms reference Creative Commons Attribution and align with policies from Wellcome Trust and Horizon 2020. The journal advocates reproducible workflows, encouraging submission of workflow descriptions compatible with Common Workflow Language and containerization approaches used by groups at EMBL-EBI and computational consortia such as Global Alliance for Genomics and Health.
The editorial board has historically included scientists affiliated with institutions such as University of Oxford, University of Cambridge, Stanford University, Harvard University, Peking University, and Tsinghua University, alongside technologists from organizations like European Bioinformatics Institute and European Molecular Biology Laboratory. Peer review procedures combine traditional anonymous review with open data checks and technical validation by curators from repositories akin to GenBank and workflow reviewers experienced with platforms like Galaxy (platform). Editorial oversight has engaged experts who have served on committees for awards such as the Breakthrough Prize and panels at conferences including International Conference on Computational Biology and meetings hosted by Cold Spring Harbor Laboratory. Conflicts of interest and editorial decisions are governed by practices similar to those at Committee on Publication Ethics-aligned journals.
GigaScience is indexed in major services comparable to Scopus, Web of Science, and subject aggregators used by institutions such as NIH. Citation metrics place it among specialized journals that focus on large-scale data publishing alongside publications like Nature Methods and Bioinformatics (journal). The journal's impact is reflected in articles that have been cited by teams at Broad Institute, Sanger Institute, and policy documents from European Commission science initiatives. Data reuse from published datasets has supported downstream projects affiliated with US National Academies reports and large consortia such as Global Biodiversity Information Facility.
Critiques leveled at the journal echo broader debates involving publishers like Elsevier, Springer Nature, and open-access models championed by PLOS: issues include article-processing charges and sustainability raised by stakeholders including Wellcome Trust and national funders. Some controversies have centered on data hosting responsibilities comparable to disputes involving Figshare and community repositories, and on the balance between rapid publication and rigorous technical validation as debated at meetings held by International Society for Computational Biology. Questions about editorial independence have been compared to cases involving institutional journals associated with large sequencing centers such as BGI and their relationships with academic publishers. Concerns over reproducibility have prompted dialogues with organizations like ReproZip developers and reproducibility initiatives at Center for Open Science.
Category:Open access journals