The URLs in the Data Availability statement for this paper are incorrect. The correct URLs are:
- DNase-Seq has the unique identifier minid:b9dt2t and is available from https://identifiers.org/minid:b9dt2t
- Aligned BAM files have an identifier: minid:b9vx04 and are available from https://identifiers.org/minid:b9vx04
- The collection of BED files of footprints have an identifier: minid:b9496p and are available from https://identifiers.org/minid:b9496p
- The non-redundant Motifs database has an identifier: minid:b97957 and is available from https://identifiers.org/minid:b97957
- The motif intersected hits have an identifier: minid:b9p09p and are available from https://identifiers.org/minid:b9p09p
- The Transcription Factor Binding Sites generated from the study have an identifier: minid:b9v398 and are available from https://identifiers.org/minid:b9v398
Reference
- 1. Madduri R, Chard K, D’Arcy M, Jung SC, Rodriguez A, Sulakhe D, et al. (2019) Reproducible big data science: A case study in continuous FAIRness. PloS ONE 14(4): e0213013. https://doi.org/10.1371/journal.pone.0213013 pmid:30973881
Citation: Madduri R, Chard K, D’Arcy M, Jung SC, Rodriguez A, Sulakhe D, et al. (2023) Correction: Reproducible big data science: A case study in continuous FAIRness. PLoS ONE 18(11): e0294883. https://doi.org/10.1371/journal.pone.0294883
Published: November 21, 2023
Copyright: © 2023 Madduri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
