Bioinformatics Research Network

From HandWiki

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

BRN 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

BRN has published its projects in BioRxiv[6] and in peer-reviewed journals.[7][8]

References

  1. "Bioinformatics Research Network - IRS Tax Exempt Organization Search". https://apps.irs.gov/app/eos/detailsPage?ein=872507355&name=BIOINFORMATICS%20RESEARCH%20NETWORK&city=&state=&countryAbbr=US&dba=&type=DETERMINATIONLETTERS,%20EPOSTCARD&orgTags=DETERMINATIONLETTERS&orgTags=EPOSTCARD. 
  2. "Bioinformatics Research Network -Vision & Mission". https://doc.clickup.com/p/h/75r16-3405/519c6a08c8eb9fe. 
  3. "Bioinformatics Research Network - About" (in en). https://www.bioresnet.org/about. 
  4. "Bioinformatics Interest Group" (in en). https://www.bigbioinformatics.org/. 
  5. "Student Groups" (in en-US). 2018-09-19. https://www.uthscsa.edu/academics/biomedical-sciences/student-life/student-groups. 
  6. Miller, H. E.; Montemayor, D.; Li, J.; Levy, S.; Pawar, R.; Hartono, S.; Sharma, K.; Frost, B. et al. (2021-11-04) (in en). Exploration and analysis of R-loop mapping data with RLBase. pp. 2021.11.01.466854. doi:10.1101/2021.11.01.466854. https://www.biorxiv.org/content/10.1101/2021.11.01.466854v2. 
  7. Miller, Henry E.; Montemayor, Daniel; Abdul, Jebriel; Vines, Anna; Levy, Simon A; Hartono, Stella R; Sharma, Kumar; Frost, Bess et al. (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. PMID 35758606. PMC 9303298. https://doi.org/10.1093/nar/gkac537. 
  8. Ilieva, Mirolyuba; Miller, Henry E.; Agarwal, Arav; Paulus, Gabriela K.; Madsen, Jens Hedelund; Bishop, Alexander J. R.; Kauppinen, Sakari; Uchida, Shizuka (2022). "FibroDB: Expression Analysis of Protein-Coding and Long Non-Coding RNA Genes in Fibrosis" (in en). Non-Coding RNA 8 (1): 13. doi:10.3390/ncrna8010013. PMID 35202087.