Working in the comparative oncology field to study spontaneous development of glioma in Canis familiaris or dogs with emphasis on characterizing and comparing cancer genome and transcriptome to that in human glioma.
Dr. Amin received his Ph.D. in cancer computational biology from Baylor College of Medicine, Houston, TX in 01/2017. His thesis work was carried out at the UT MD Anderson Cancer Center, and was focused on understanding long non-coding RNA interactions in the context of chromatin organization using integrated analyses of publically available expression, epigenomic and chromatin interaction data. Before completing Ph.D., Dr. Amin received research training (2008-2011) in computational biology at the Dana-Farber Cancer Institute, Boston, MA where he worked on the assessment of gene expression profiling as predictive biomarker in multiple myeloma. Previously, Dr. Amin received his first professional degree in medicine, MBBS from the Medical College of Maharaja Sayajirao University of Baroda, Vadodara, India in 2005.
Prof. John J. Trentin Award for Scholastic Excellence
2012 Baylor College of Medicine, Houston, TX
Yan Z, Shah PK, Amin SB, Samur MK, Huang N, Wang X, et al. Integrative analysis of gene and miRNA expression profiles with transcription factor-miRNA feed-forward loops identifies regulators in human cancers. Nucleic Acids Res. 2012;40:e135.
Tian Z, Zhao J-J, Tai Y-T, Amin SB, Hu Y, Berger AJ, et al. Investigational agent MLN9708/2238 targets tumor-suppressor miR33b in MM cells. Blood. 2012;120:3958–67.
Fulciniti M, Amin S, Nanjappa P, Rodig S, Prabhala R, Li C, et al. Significant biological role of sp1 transactivation in multiple myeloma. Clin. Cancer Res. 2011;17:6500–9.
Dr. Jens Rueter and the Maine Cancer Genomics Initiative are providing advanced genomic tools to oncology practices...
The JAX Bioinformatics Training Program provides training in the core skills needed to be productive in research.
Doctors who treat rare pediatric cancers face an awful truth: many of their patients will die far too young.
Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less...
The best way to learn how to program is to do something useful, so this introduction to R is built around a common scientific task: data...
This workshop is an introduction to high performance computing using the Jackson Laboratory's computing cluster. The goal of this lesson...
Leverages genomic technologies to investigate brain tumor biology and disease evolution.
Deploys next-generation sequencing techniques to understand brain tumor biology and telomere mechanics
Computational analysis of high throughput sequencing data to improve our understanding of tumor biology and evolution.
Investigating genetics/mechanisms of recombination and role of PRDM9.
Investigate cancer evolution using computational and statistical approaches.
Bridges the digital biology divide, by integrating computation and informatics with biomedical research.
Brain tumors, sequencing, computational biology.
We are passionate about the development and application of computational modeling methods to study the operating mechanisms of cancer...
Employs computational and mathematical approaches to analyze large genomic data sets to understand genome function and uncover clinical...