Raunak Shrestha

Raunak Shrestha

Post-doctoral Research Scholar (Computational Biology)

University of California, San Francisco (UCSF)

I am a Computational Biology Post-doctoral Research Fellow with Dr. Felix Feng at the University of California, San Francisco (UCSF). My primary research location is the UCSF HDFC Cancer Center. Additionally, I hold Adjunct Research Scientist position at the Nepal Applied Mathematics & Informatics Institute for Research (NAAMII), where I am leading the Computational Genomics Laboratory.

My main interest lies in understanding cancer progression and treatment resistance through the development and application of computational genomics approaches. [My Curriculum Vitae]

I am actively looking for academic positions.

Interests
  • Bioinformatics
  • Cancer Genomics
  • Epigenomics
  • Single-cell Genomics
  • Immuno-Oncogenomics
  • Precision Oncology
  • Infectious Disease Genomics
  • Machine Learning
  • Data Science
Education
  • PhD in Bioinformatics, 2018

    University of British Columbia, Canada

  • BTech in Biotechnology, 2009

    Kathmandu University, Nepal

Recent Publications

(2024). An Atlas of Accessible Chromatin in Advanced Prostate Cancer Reveals the Epigenetic Evolution during Tumor Progression. Cancer Research.

PDF Code Dataset DOI PubMed Journal

(2024). Integrated analyses highlight interactions between the three-dimensional genome and DNA, RNA and epigenomic alterations in metastatic prostate cancer. Nature Genetics.

PDF DOI PubMed Journal

(2024). Integrative analysis of ultra-deep RNA-seq reveals alternative promoter usage as a mechanism of activating oncogenic programmes during prostate cancer progression. Nature Cell Biology.

Code DOI PubMed Journal

(2023). The genomic and epigenomic landscape of double-negative metastatic prostate cancer. Cancer Research.

PDF DOI PubMed Journal

(2023). Beyond Reconstruction: What Leads to Satisfaction in Post-Disaster Recovery?. Journal of Happiness Studies.

Code Project DOI Journal

(2022). The 5-Hydroxymethylcytosine Landscape of Prostate Cancer. Cancer Research.

DOI PubMed Journal

(2021). Predicting Cancer Drug TARGETS - TreAtment Response GlmnET Signatures. NPJ genomic medicine.

DOI PubMed

(2021). An integrated functional and clinical genomics approach reveals genes driving aggressive metastatic prostate cancer. Nature Communications.

PDF Dataset DOI PubMed Journal

(2021). Multiomics Characterization of Low-grade Serous Ovarian Carcinoma Identifies Potential Biomarkers of MEK-inhibitor Sensitivity and Therapeutic Vulnerability. Cancer Research.

PDF Dataset DOI Journal PubMed Dataset2

(2020). Autoantibody landscape in patients with advanced prostate cancer. Clinical Cancer Research.

DOI Journal PubMed

(2020). Identification of Conserved Evolutionary Trajectories in Tumors. Bioinformatics (ISMB 2020).

PDF Code DOI Journal PubMed

(2020). Well-Differentiated Papillary Mesothelioma of the Peritoneum is Genetically Distinct from Malignant Mesothelioma. Cancers.

PDF DOI Journal PubMed

(2020). Y-box Binding Protein-1 is Crucial in Acquired Drug Resistance Development in Metastatic Clear-Cell Renal Cell Carcinoma. Journal of Experimental & Clinical Cancer Research.

PDF DOI Journal PubMed

(2020). Identification of Predictive Gene Signature to Guide Precision Oncology of Clear-Cell Renal Cell Carcinoma. Scientific Reports.

PDF DOI Journal PubMed

Computational Genomics Lab at NAAMII

At NAAMII-Nepal, we aim to transform global health through the application of computational genomics. Our areas of focus encompass infectious disease genomics and complex disease genomics (cancer, diabetes), with a particular emphasis on better understanding disease progression and treatment resistance.
*
Insulin Resistance in Diabetes
Investigating biomarkers of Type-2 diabetes and insulin resistance
HPV-mediated Cancers
Biomarkers of HPV-negative head and neck cancer
Predicting drug-resistant Tuberculosis
Using systems genomics to understand and better coltrol TB multi-drug resistance
Developing efficient dengue vaccine
Mining Dengue virus immunopeptidome for next-generation dengue vaccine
Genomic epidemiology to understand virus evolution
Understanding transmission patterns of SARS-CoV-2

Software & Data Analytics

Software

  • HIT’nDRIVE - Combinatorial optimization algorithm for cancer driver genes prioritization
  • cd-CAP - Combinatorial Detection of Conserved Alteration Patterns for Identifying Cancer Subnetworks
  • CONETT - Combinatorial optimization algorithm for identification of conserved evolutionary trajectories in tumors

Data Analytics

Recent Posts

Conferences & Events

AACR Annual Meeting 2024
30th Annual PCF Scientific Retreat
2023 Gordon Research Conference - Hormone-Dependent Cancers
29th Annual PCF Scientific Retreat

Contact