Abstract
From Impressionism and Pop Art to phosphorylation sites and interacting atom pairs, the realm of curation has been expanded. The recent growth of bioinformatics, driven by exponentially growing data, advanced computing techniques, and increased funding from private and governmental organizations, has created the need for novel strategies to adequately capture, store, and analyze the multitude of data present in the scientific literature. To meet this challenge, the number and scope of scientific databases has soared in recent years, creating a new profession, the biocurator. Indeed, the present emphasis on expanding computational resources, capable of managing and analyzing complex biological data, presents an ever-growing demand for biocurators capable of interpreting the increasingly complex scientific literature and extracting relevant data in an efficient, yet consistent, manner.
Highlights
From Impressionism and Pop Art to phosphorylation sites and interacting atom pairs, the realm of curation has been expanded
The Immune Epitope Database and Analysis Resource (IEDB) at http://www.immuneepitope.org [1,2] was established to capture, house, and analyze complex immune-epitope– related data extracted from the scientific literature by a team of specialized biocurators
The goal of the IEDB is to provide the scientific community with open access to concise and comprehensive immunological data and analysis resources in a previously unavailable format
Summary
From Impressionism and Pop Art to phosphorylation sites and interacting atom pairs, the realm of curation has been expanded. The Immune Epitope Database and Analysis Resource (IEDB) at http://www.immuneepitope.org [1,2] was established to capture, house, and analyze complex immune-epitope– related data extracted from the scientific literature by a team of specialized biocurators. Our experiences as IEDB biocurators are presented here to provide insight into the role of the biocurator and the challenges of literature-based curation of complex scientific data.
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