Correspondence on “Comparison of literature mining tools for variant classification: Through the lens of 50 RYR1 variants” by Wermers et al.
Chih-Hsuan Wei, Lon Phan, Timothy Hefferon, Melissa Landrum, Heidi L. Rehm, Zhiyong Lu
Summary
One important dimension that merits attention is the scope of content accessible by LitVar 2.0. Unlike the other three database/systems in the comparison, LitVar 2.0’s processing of the full-text articles is restricted to those within the open-access subset in PubMed Central (PMC) that are made freely available under license terms for text and data mining. As of May 2024, articles in the PMC Open Access Subset only account for 60% of total articles in PMC. LitVar 2.0 does not mine dbSNP or ClinVar as stated in Wermer’s study.
