Big data: The future of biocuration

By D. Howe, M. Costanzo, P. Fey, T. Gojobori, L. Hannick, Winston A Hide, David P. Hill, Renate Kania, M. Schaeffer, Susan St. Pierre and 3 more. Nature, 2008

750 citations recorded by the source corpus.

To thrive, the field that links biologists and their data urgently needs structure, recognition and support.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/a278d63e52794666d7f3db60d72bf06f44dd2468

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Citations in the corpus

Using HHsearch to tackle proteins of unknown function: A pilot study with PH domains (2016, background): “org/clan/CL0266), but new discoveries are not disseminated to databases instantly.(40) Upgrades lag behind the literature and curation is not perfect.”
Social media analytics - Challenges in topic discovery, data collection, and data preparation (2018, methodology): “It also includes nucleotide and protein sequences stored in massive bioinformatics databases (Howe et al., 2008) and weather and radar data used to predict ﬂ ight arrival times (McAfee & Brynjolfsson, 2012).”
Bias and dispersal in the animal reintroduction literature (2010, background): “A number of questions arise from this that require further research: Are managers working with insects and amphibians less willing and/or less able to publish their results? Are there more reintroduction failures for these taxa? Are there fewer taxonomic specialist publication outlets for work on th”
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository (2013, background): “The Human Genome Project pioneered the creation of large sharable databases [1, 2] in a successful effort to accelerate our understanding of the genetic material of which we are made and usher in the era of big data in biomedical research [3].”
Data mining with big data (2016, background): “Information sharing is an ultimate goal for all systems involving multiple parties [24].”
Big Data in product lifecycle management (2015, background): “Moreover, in the areas of science researches like biology, the amount of data is increasing with the exponential growth speed [2].”
Distributed Analytics and Edge Intelligence: Pervasive Health Monitoring at the Era of Fog Computing (2015, background): “Biomedical research and clinical practice are entering a data-driven era [15].”
The BioGRID interaction database: 2013 update (2012, background): “The systematic curation of biological data, including protein and genetic interactions, is essential for computational biology and for the interpretation of genetic variation and disease associations revealed by genomesequencing efforts (10,11).”
VFDB 2016: hierarchical and refined dataset for big data analysis—10 years on (2015, background): “Moreover, high-quality annotation with intensive curation is invaluable for extracting key information from big data for further biological interpretation (15).”
The BIG Data Center: from deposition to integration to translation (2016, background): “Community curation––harnessing community intelligence for biological knowledge curation, in contrast to expert curation that is heavily based on dedicated experts and vulner-ably threatened by funding cuts (38)––promises to be a solu-tion to deal with the deluge of biological data (39).”
The BioGRID Interaction Database: 2011 update (2010, background): “…and analysis of biological interactions now underpin much of modern biomedical research, the interpretation and integration of the morass of data in the primary literature have been seriously hindered by the failure to capture this information in a distilled and consistently codiﬁed fashion (4).”