@article{10.11648/j.ajlm.20251001.12,
  author = {Erkison Ewomazino Odih and Odion O. Ikhimiukor and Rotimi Ayodeji Dada and Ifeoluwa Akintayo and Faith Ifeoluwa Oni and Elshama Queen Adanna Nwoko and Anthony Underwood and Iruka N. Okeke and Ayorinde Oluwatobiloba Afolayan},
  title = {Decentralising Bioinformatics Capacity: Lessons from Training Hospital Staff and Field Epidemiologists in Nigeria
},
  journal = {American Journal of Laboratory Medicine},
  volume = {10},
  number = {1},
  pages = {20-31},
  doi = {10.11648/j.ajlm.20251001.12},
  url = {https://doi.org/10.11648/j.ajlm.20251001.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajlm.20251001.12},
  abstract = {Genomics is increasingly utilised across Africa to address pressing public health challenges, including antimicrobial resistance (AMR). However, the continent's capacity for sequence data analysis and interpretation remains limited, particularly outside research institutions. To bridge this gap, we conducted a virtual bioinformatics training program in Nigeria, targeting hospital laboratory staff, medical personnel, and field epidemiologists, to build capacity for genome sequence analysis and interpretation. The training consisted of two modules: Module 1 introduced sequencing technologies, AMR prediction, bacterial typing, and phylogenetics using web-based tools, while Module 2 focused on command-line tools and piloted Nextflow Tower for decentralized sequence analysis. Post-course and follow-up surveys assessed the program’s impact. Twenty-two participants from nine institutions completed Module 1, with ten from six institutions progressing to Module 2. Interactive sessions facilitated knowledge retention, with 83.3% of participants rating Module 2 as highly relevant. The Nextflow Tower platform facilitated cost-effective bacterial genome analysis ($0.0026 per genome). While confidence in web-based tools improved significantly, challenges remained in adopting command-line tools. Feedback highlighted the effectiveness of pre-recorded lectures, interactive engagement, and decentralized analysis platforms. This training program enhanced bioinformatics capacity among Nigerian public health professionals, highlighting the feasibility of implementing centralized sequencing with decentralized bioinformatics analysis in resource-limited settings. Furthermore, it highlights the importance of prioritizing introductory bioinformatics and web-based tools as a foundation for building long-term genomic surveillance capacity.
},
 year = {2025}
}

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TY  - JOUR
T1  - Decentralising Bioinformatics Capacity: Lessons from Training Hospital Staff and Field Epidemiologists in Nigeria

AU  - Erkison Ewomazino Odih
AU  - Odion O. Ikhimiukor
AU  - Rotimi Ayodeji Dada
AU  - Ifeoluwa Akintayo
AU  - Faith Ifeoluwa Oni
AU  - Elshama Queen Adanna Nwoko
AU  - Anthony Underwood
AU  - Iruka N. Okeke
AU  - Ayorinde Oluwatobiloba Afolayan
Y1  - 2025/03/07
PY  - 2025
N1  - https://doi.org/10.11648/j.ajlm.20251001.12
DO  - 10.11648/j.ajlm.20251001.12
T2  - American Journal of Laboratory Medicine
JF  - American Journal of Laboratory Medicine
JO  - American Journal of Laboratory Medicine
SP  - 20
EP  - 31
PB  - Science Publishing Group
SN  - 2575-386X
UR  - https://doi.org/10.11648/j.ajlm.20251001.12
AB  - Genomics is increasingly utilised across Africa to address pressing public health challenges, including antimicrobial resistance (AMR). However, the continent's capacity for sequence data analysis and interpretation remains limited, particularly outside research institutions. To bridge this gap, we conducted a virtual bioinformatics training program in Nigeria, targeting hospital laboratory staff, medical personnel, and field epidemiologists, to build capacity for genome sequence analysis and interpretation. The training consisted of two modules: Module 1 introduced sequencing technologies, AMR prediction, bacterial typing, and phylogenetics using web-based tools, while Module 2 focused on command-line tools and piloted Nextflow Tower for decentralized sequence analysis. Post-course and follow-up surveys assessed the program’s impact. Twenty-two participants from nine institutions completed Module 1, with ten from six institutions progressing to Module 2. Interactive sessions facilitated knowledge retention, with 83.3% of participants rating Module 2 as highly relevant. The Nextflow Tower platform facilitated cost-effective bacterial genome analysis ($0.0026 per genome). While confidence in web-based tools improved significantly, challenges remained in adopting command-line tools. Feedback highlighted the effectiveness of pre-recorded lectures, interactive engagement, and decentralized analysis platforms. This training program enhanced bioinformatics capacity among Nigerian public health professionals, highlighting the feasibility of implementing centralized sequencing with decentralized bioinformatics analysis in resource-limited settings. Furthermore, it highlights the importance of prioritizing introductory bioinformatics and web-based tools as a foundation for building long-term genomic surveillance capacity.

VL  - 10
IS  - 1
ER  - 

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