Additional file 1 of Detecting foldback artifacts in long-reads
Year: 2026
Type: dataset
Abstract: Additional file 1. All public data used in this study and their sources. Includes metadata on datatype, sequencer, pore, chemistry, and base-caller.
Source: Figshare
Authors: Heinz, Jakob M., Meyerson, Matthew, Li, Heng
Institutions: Broad Institute, Harvard University, Dana-Farber Cancer Institute
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7127946882
Cites:
Cited by:
Related to:
