This article may rely excessively on sources too closely associated with the subject, potentially preventing the article from being verifiable and neutral. (May 2022) |
Bioinformatics Research Network (BRN) is a non-profit open-science research-based organization aiming to provide volunteer opportunities and bioinformatics research training that is free and open to everyone. It is a community-driven 501(c)(3) non-profit organization[1] that aims to establish a worldwide network that is open to anyone interested in bioinformatics irrespective of academic background and to provide bioinformatics training, mentorship and the opportunity to collaborate on exciting research projects.[2]
Training and projects
editBRN provides free training workshops through its partner group Bioinformatics Interest Group.[3] BIG is a student club of The University of Texas Health Science Center at San Antonio established to promote the development of student bioinformaticians and encourage the growth of bioinformatics skills in the community.[4][5] BRN is open to academic labs to host projects for open collaboration. These projects are then available for everyone to contribute. To work on a project, a volunteer has to complete the required skill assessments for the specific project and apply to the respected team. The decision to allow the volunteer to work depends on the team of the respective project.
Publication
editBRN has published its projects in BioRxiv[6] and in peer-reviewed journals.[7][8]
References
edit- ^ "Bioinformatics Research Network - IRS Tax Exempt Organization Search". www.irs.gov/. Retrieved 2022-02-09.
- ^ "Bioinformatics Research Network -Vision & Mission".
- ^ "Bioinformatics Research Network - About". BRN. Retrieved 2022-02-09.
- ^ "Bioinformatics Interest Group". BIG Bioinformatics. Retrieved 2022-02-09.
- ^ "Student Groups". UT Health San Antonio. 2018-09-19. Retrieved 2022-02-09.
- ^ Miller, H. E.; Montemayor, D.; Li, J.; Levy, S.; Pawar, R.; Hartono, S.; Sharma, K.; Frost, B.; Chedin, F.; Bishop, A. J. R. (2021-11-04). "Exploration and analysis of R-loop mapping data with RLBase": 2021.11.01.466854. doi:10.1101/2021.11.01.466854. S2CID 243785043.
{{cite journal}}: Cite journal requires|journal=(help) - ^ Miller, Henry E.; Montemayor, Daniel; Abdul, Jebriel; Vines, Anna; Levy, Simon A; Hartono, Stella R; Sharma, Kumar; Frost, Bess; Chédin, Frédéric; Bishop, Alexander J R (2022). "Quality-controlled R-loop meta-analysis reveals the characteristics of R-loop consensus regions". Nucleic Acids Research. 50 (13): 7260–7286. doi:10.1093/nar/gkac537. PMC 9303298. PMID 35758606.
- ^ Ilieva, Mirolyuba; Miller, Henry E.; Agarwal, Arav; Paulus, Gabriela K.; Madsen, Jens Hedelund; Bishop, Alexander J. R.; Kauppinen, Sakari; Uchida, Shizuka (2022) [2022-01-28]. "FibroDB: Expression Analysis of Protein-Coding and Long Non-Coding RNA Genes in Fibrosis". Non-Coding RNA. 8 (1): 13. doi:10.3390/ncrna8010013. PMC 8877069. PMID 35202087.