Jalal Siddiqui
Biochemistry, Genetics and Molecular Biology · The Ohio State University
Publications
37
Citations
471
Est. group size
~1
Recurring co-author estimate
Active years
14
Publishing since 2012
Jalal Siddiqui works on computational and bioinformatics methods for integrating different types of biological data, such as combining metabolomics (small-molecule measurements) with gene expression data, and analyzing RNA editing patterns to understand cancer treatment response. Recent work also includes developing computational tools for typing HLA genes (immune system genes) from nanopore sequencing data. This research bridges molecular biology, cancer genomics, and data science/bioinformatics tool development.
Publication output has fluctuated over the past decade with a peak in 2018 and 2022, showing modest, irregular activity rather than a steady or clearly growing trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A computational HLA allele-typing protocol to de-noise and leverage nanopore amplicon data
BMC Genomics · 2025
- A computational HLA allele-typing protocol to de-noise and leverage nanopore amplicon data
Research Square · 2024
- A computational HLA allele-typing protocol to de-noise and leverage nanopore amplicon data
Research Square · 2024
- Reduced RBPMS Levels Promote Cell Proliferation and Decrease Cisplatin Sensitivity in Ovarian Cancer Cells
International Journal of Molecular Sciences · 2022
- RNA editing signatures identify melanoma patients who respond to Pembrolizumab or Nivolumab treatment
Translational Oncology · 2021
- RNA Editing Signatures Predict Response to Immunotherapies in Melanoma Patients
bioRxiv (Cold Spring Harbor Laboratory) · 2020
- Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective
Metabolites · 2019
- Integration of Metabolomics and Transcriptomics to Identify Gene-Metabolite Relationships Specific to Phenotype
Methods in molecular biology · 2019
- RaMP: A Comprehensive Relational Database of Metabolomics Pathways for Pathway Enrichment Analysis of Genes and Metabolites
Metabolites · 2018
- IntLIM: integration using linear models of metabolomics and gene expression data
BMC Bioinformatics · 2018
- Additional file 4: of IntLIM: integration using linear models of metabolomics and gene expression data
INDIGO (University of Illinois at Chicago) · 2018
- Additional file 4: of IntLIM: integration using linear models of metabolomics and gene expression data
Figshare · 2018
- Additional file 7: of IntLIM: integration using linear models of metabolomics and gene expression data
Figshare · 2018
- Effects of Modified Parvalbumin EF-Hand Motifs on Cardiac Myocyte Contractile Function
Biophysical Journal · 2016
- Modeling the response of troponin C to calcium in increasingly complex systems
OhioLink ETD Center (Ohio Library and Information Network) · 2016
- Biophysical Journal×3
- Research Square×3
- Metabolites×2
- Frontiers in Physiology×2
- Communications Biology×2
- Kyle Spencer
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Ahmed Mohamed
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Brian D. Fries
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Bowei Xi
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Bruce R. Cooper
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile