Work

Reproducibility and conflicts in immune epitope data

Year: 2015

Type: article

Abstract: The Immune Epitope Database is uniquely positioned to assess the body of research related to immune epitopes, we have manually curated all such published data. Thus, we are able to make observations on the state of these fields of research, as well as aggregate the individual data points to present a clearer picture of the immune response to specific antigens in all studied hosts. Additionally, we are able to identify where conflicts in the literature exist and where publications fall short in terms of identifiable methods and in reproducibility. Here we present guidelines to improve the quality of immune epitope data, which will benefit journals and researchers alike.

Source: Immunology

DOI: 10.1111/imm.12566

Authors: Randi Vita, Nicole Vasilevsky, Anita Bandrowski, Melissa Haendel, Alessandro Sette, Bjoern Peters

Institutions: La Jolla Institute for Immunology, Oregon Health & Science University, University of California San Diego

Language: English

Topic: vaccines and immunoinformatics approaches

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute on Drug Abuse, National Institute of Diabetes and Digestive and Kidney Diseases

Awards: The Monarch Initiative: Linking Diseases to Model Organism Resources, OPERATION, SUPPORT AND STRATEGIC ENHANCEMENT OF THE NEUROSCIENCE INFORMATION FRAMEWORK, G573798717, dkNET Coordinating Unit: Harnessing the Power of AI and Data Science forCollaborative Discovery and Sharing in the DK Community