About Us
We Inform, Help and Support the Biological Sciences Community with Complex Data Analysis Challenges
Ikhana Scientific is a Consulting Services Company led by Michael Freitas, PhD.
Mike Freitas is the founder of Ikhana Scientific, LLC. He is a Professor in the College of Medicine, The Ohio State University Michael A. Freitas, PhD, is the Director of the OSU Comprehensive Cancer Center Proteomics Shared Resource and Director of the OSU Wexner Medical Center’s Biomedical Sciences Graduate Program. He is a Professor in the Department of Cancer Biology and Genetics. Dr. Freitas has been working in the field of mass spectrometry and data sciences for >30 years and has spent the last 20+ years developing and improving mass spectrometry and bioinformatic methods in the fields of cancer proteomics and chromatin biology.
He is a recipient of the Camille and Henry Dreyfus New Faculty Award and the American Society for Mass Spectrometry Research Award. His research is focused on development and application of multiomic methods to understand chromatin regulatory networks in cancer. The lab has extensive expertise in characterizing protein modifications and identifying protein:protein interactions by mass spectrometry. Dr. Freitas is also a cofounder of
MassMatrix Inc, a software company that develops data analysis solutions for BioPharma. Dr. Freitas is a leader in bioinformatics education at OSU.
Solving Complex Data Challenges
Big data is a term often used to describe data sets that are too large to be analyzed with commodity computer hardware running end-user software. Until recently, high complexity big data sets from genomics and proteomics were obtained by domain experts and analyzed by dedicated bioinformatics staff. Rapid advances in next-generation sequencing and mass spectrometry have driving down the cost of genomic, proteomic and metabolomic experiments making the acquisition of these complex data sets available to a much broader research community. More and more investigators are seeking answers from omic data in lieu of traditional bench-top molecular biology. The adoption of multiomics in the lab has been further aided by a fervent community of scientists creating user friendly data analysis software. Investigators now have a dizzying array of options for analyzing data. Given these trends in science, the call for transparent and reproducible data analysis pipelines is gaining momentum. We are experts in designing and implementing complex integrative genomic and proteomic workflows from the perspective of a data scientists attempting to address the ongoing challenges for developing transparent and reproducible scientific workflows. If you have complex data analysis needs we can help.
