Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/27310| Title: | Erratum: EpiGraphDB: A database and data mining platform for health data science (Bioinformatics (2020) DOI: 10.1093/bioinformatics/btaa961) |
| Authors: | Liu, Y Elsworth, B Erola, P Haberland, V Hemani, G Lyon, M Zheng, J Lloyd, O Vabistsevits, M Gaunt, TR |
| Issue Date: | 10-Mar-2021 |
| Publisher: | Oxford University Press |
| Citation: | Liu, Y. et al. (2021) 'Erratum to: EpiGraphDB: a database and data mining platform for health data science', Bioinformatics, 37 (2), pp. 288 - 288. doi: 10.1093/bioinformatics/btab104. |
| Abstract: | Upon the original publication of this article, there was an error in the source code syntax under sub-section “2.2 Integration of epidemiological evidence” in the “Materials and methods” section. The source code syntax should read: “(e.g. (Gwas {trait: ‘Body mass index’})-[MR {beta, se, pval}]-<(Gwas {trait: ‘Coronary heart disease’}))” instead of “ (e.g. [Gwas (trait: ‘Body mass index’)]-[MR {beta, se, pval}]- <(Gwas {trait: ‘Coronary heart disease’})))”. This error has now been corrected. The Publisher apologizes for the error. |
| URI: | https://bura.brunel.ac.uk/handle/2438/27310 |
| DOI: | https://doi.org/10.1093/bioinformatics/btab104 |
| ISSN: | 1367-4803 |
| Other Identifiers: | ORCID iDs: Yi Liu https://orcid.org/0000-0002-2051-440X; Valeriia Haberland https://orcid.org/0000-0002-3874-0683 |
| Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Erratum.pdf | Copyright © The Author(s) 2021. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | 152.51 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
