Suggestions
Denis Odinokov, MBBS, MSc, PMP
Bioinformatics • Liquid Biopsy • Cancer Biomarkers • Computational Cancer Genomics • Opinions Are My Own
Denis Odinokov, MBBS, MSc, PMP is a senior research officer at the Genome Institute of Singapore.1 He has a multifaceted background in medicine, bioinformatics, and project management, as evidenced by his credentials.
Professional Background
Denis specializes in genomics and bioinformatics, with a particular focus on:
- Liquid biopsy
- Computational cancer genomics
- Bioinformatics tools and next-generation sequencing (NGS)35
His expertise extends to clonal hematopoiesis, aging, and Alzheimer's disease, indicating a broad range of interests in medical research and computational biology.6
Education and Qualifications
Denis holds the following qualifications:
- MBBS (Bachelor of Medicine, Bachelor of Surgery)
- MSc (Master of Science)
- PMP (Project Management Professional certification)
He received part of his education from The Chinese University of Hong Kong.1
Current Role and Connections
As a Senior Research Officer at the Genome Institute of Singapore, Denis is well-connected in his field, with over 500 connections on LinkedIn.1 His work involves managing biomedical projects and conducting research in genomics and bioinformatics.
Additional Roles
Beyond his primary position, Denis has been involved with other organizations:
- Director of Biomedical Projects at SingularityNET4
- Contributor to discussions on platforms like LinkedIn about various topics in bioinformatics and genomics235
Denis Odinokov appears to be an active professional in the field of bioinformatics and genomics, regularly sharing insights and engaging with the scientific community through social media and professional networks.67
Highlights
An interesting takeaway from a recent work by R. Taylor Sundby, MD, and Jeff Szymanski: they used an NMF decomposition to analyze cfDNA fragment length distribution, assuming it contained a mix of tumor and non-tumor DNA. They found that one component had a left-shifted peak and increased 10 bp periodicity — features characteristic of tumor-derived DNA.
How generalizable do you think this method is across different types of cancer and experimental batches?
https://lnkd.in/gnWRvTBm
Examples of computational frameworks for analyzing cfDNA fragmentomics. Anything to add?
#cfDNA #ctDNA #LiqudBiopsy #fragmentomics
From: https://lnkd.in/gVAgjEzh
