Skip to content
View fmobegi's full-sized avatar

Highlights

  • Pro

Block or report fmobegi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
fmobegi/README.md

Hi There, welcome to my page

I'm a bioinformatician with a background in biochemistry and molecular microbiology, and experience in human health genomics (immunogenomics, cancer and cardiometabolic genomics), with a range of skills including (meta)genomics data analysis and integration, biomarkers discovery, genotype-phenotype association, microbiomics, transcriptomics, molecular epidemiology, population genetics, and scientific liaison. I am experienced in HPC and Cloud (Azure/AWS) computing, big data analysis frameworks (Hadoop and Spark), data management in SQL, programming in Python, Perl and R, and pipelining for sciences using NextFlow.

Research interests: My interests are in big data analytics, data management and governance, machine learning, and artificial intelligence applications in translational analyses and interpretation.

I specifically focus on microbial communities or immune-response-triggering stimuli and their interactions with host immunity. I aim to develop a comprehensive understanding of key bioinformatics tools for data analysis and integration, and translate them into basic applications for extracting insights.

As the clinical and biotechnology departments slowly embrace the use of next-generation sequencing and third-generation sequencing for diagnosis and monitoring, the ability to integrate genomics information with pathological, clinical, and environmental meta-information will facilitate the formulation of novel hypotheses and open possibilities for key discoveries, thus, unlocking several unmet epidemiological, diagnostic and therapeutic modalities that harness the power of technology and big data.

Recently, I am dipping my toes into Machine Learning and Artificial Intelligence applications, Data Management and Analytics on the Microsoft Azure ecosystem, pipelining with Apache Airflow, RAG using Python and OpenAI, and Data Governance.

I have continually improved my liaison skills through community engagements.

A few hobbies: When not in front of a computer working, I enjoy swimming, driving around with my family, and exploring local cuisines. I love soccer and rugby too because they are sports of extreme teamwork. Languages: English (Native-Proficient), Swahili (Native).

🛠️ Languages and Tools

snakemake nextflow Data Factory AWS Azure

Top Langs

💾 Workflows

I am working on a couple of bioinformatics tools for TGS/NGS data genomics.

  • HLADiversity HLA Allele Frequency Diversity R Package.
  • abo-analysis ABO blood typing using Oxford Nanopore MinION sequencing.
  • 3-Tag-RNA-Seq-analysis A nextflow pipeline to do transcript counting from sequencing reads generated with Tag-Seq (v2.0).
  • eplet_match-app HLA-PANDORA: A novel web-based tool to determine the presence or absence of DSA against rare HLA alleles in the era of rapid high-resolution deceased donor HLA genotyping.

🔥 My Stats

📜 Publications

... [Full list of publications]
Google Scholar Google Scholar
ORCID ORCID

Copyright © Fredrick Mobegi | Department of Clinical Immunology; PathWest® Laboratory Medicine; Government of Western Australia Department of Health.
Resources on this site are offered freely and in good faith for educational and research purposes only. They may contain links to embargoed or legally privileged data. Except as permitted by the copyright law applicable to you, you may not reproduce or communicate any of the content on this page, including files downloadable from this page, without written permission of the copyright owner(s).
Users acknowledge that they are using these resources at their own risk and agree to disclaim any liability for any damage, real or perceived, arising from their use.
These repositories are maintained by Dr. Fredrick Mobegi.

Pinned Loading

  1. 3-Tag-RNA-Seq-analysis 3-Tag-RNA-Seq-analysis Public

    A pipeline to do transcript counting with Tag-Seq (v2.0) `https://eli-meyer.github.io/TagSeq_utilities`

    Nextflow 1

  2. abo-analysis abo-analysis Public

    Forked from transplantation-immunology-maastricht/abo-analysis

    Analysis of ABO MinION sequences

    Python 1

  3. HLADiversity HLADiversity Public

    Forked from yang-luo-lab/HLADiversity

    R

  4. Lavaan-mediation-analysis Lavaan-mediation-analysis Public

    Script used to run mediation analysis of TSI metagenomes (Not published)

    1

  5. TSI-Data-Analysis TSI-Data-Analysis Public

    Data analysis for the manuscript Intestinal microbiology shapes population health impacts of diet and lifestyle risk exposures in remote communities

    HTML

  6. ccdmb/predector ccdmb/predector Public

    Effector prediction pipeline based on protein properties.

    Shell 11 7