Case Study: Medical University of South Carolina achieves accelerated bioinformatics research, grant wins, and higher student productivity with MathWorks (MATLAB)

Medical University of South Carolina Applies Bioinformatics Theory

The Medical University of South Carolina faced the challenge of advancing computational biology education and research by turning theory into practical mathematical models for genomics, proteomics, image processing, statistics, optimization, and sequence alignment while integrating with web and open-source resources. To meet these needs the Medical University of South Carolina adopted MathWorks' MATLAB environment and associated toolboxes as an easy-to-learn, interoperable platform for students and researchers.

MathWorks’ MATLAB, Bioinformatics, Statistics and Machine Learning, Optimization, Image Processing, Symbolic Math and Wavelet toolboxes were used to analyze experimental data, build algorithms, and deploy web-accessible tools, while interfacing with NCBI and open-source software. Using MathWorks tools the group secured prestigious grants (including one of 15 NLM Bioinformatics Training grants and a NHLBI Proteomic Center award), trained biology students to be productive within a semester, and reduced pathway-determination runtimes to under 15 minutes on a single machine versus hours on large clusters.

Medical University of South Carolina

Jonas Almeida

Associate Professor of Bioinformatics