This is Why: Full Circle Stories
Whether they began here as students, researchers or staff, many discover that the MDI Bio Lab’s sense of curiosity, collaboration and community stays with them. Matthew Cox, Markus Sujansky and Celeste Nobrega share what brought them back — and how working together in the Comparative Genomics and Data Science Core has brought their journeys full circle.
Continue ReadingA Q&A with Joel Graber, Ph.D., on the Comparative Genomics and Data Science Core
Basic scientific research is anything but—the modern science used to unravel the body’s biggest mysteries is increasingly complex. The brilliant minds working to answer the big questions of human aging need powerful tools, technology and expertise working alongside them.
Continue ReadingMDI Bio Lab Data Team Taps the Cloud
Big data analysis is steadily moving away from local servers and into "the cloud". And the team in MDI Bio Lab’s Computational Genomics and Data Science Core is playing a role in the biomedical world’s transition.
Continue ReadingData Science Team Explores New Protein Functions
Data Science Core Director Joel Graber, Ph.D., and several of his MDI Bio Lab Core team are co-authors of a new publication in Genetics that details previously undescribed molecular and genetic functions of a protein in yeast that is conserved in humans.
Continue ReadingCloud Computing 101
Joel Graber, Ph.D., is a Senior Staff Scientist and Director of the Computational Biology and Bioinformatics Core, funded by a Center of Biomedical Research Excellence award from the National Institutes of Health
Continue ReadingBioinformatics: The Importance of Training the Trainer
In recent years bioinformatics – using computational power to help process the massive swathes of data produced by modern experiments – has become an indispensable tool for research scientists.
Continue ReadingMINOTA 2020 – a change of direction
Transcriptome-profiling is the primary means by which researchers characterize what is happening at the molecular level. When a transcriptome profile is generated for a sample, it tells us which genes are active (being expressed) and at what amount. Comparing profiles among samples allows us to identify genes, and importantly the biological processes that are varying...
Continue ReadingPart III: Meet the Computational Biology Core
(Read part one or part two of the series.) For this entry into our ongoing discussion of the MDI Biological Laboratory Computational Biology Core, I want to take a step back and, rather than talk about the specifics of the science, instead talk about who we are, what we do, and why it is so...
Continue ReadingBioinformatics Part II: What do my genome-scale measurements of gene expression mean?
Graphical representation of differential gene expression for a single gene. The red triangles represent measurements of replicate treated samples, and the black diamonds represent matched control samples. Differential expression of this gene is determined by a statistical analysis of the separation between expression levels in treated and control, compared to the variation within each group...
Continue Reading