MDI Biological Laboratory

Archive for: Bioinformatics

The Maine INBRE in its 22nd Year – Looking Back and Ahead

As the Maine IDeA Network of Biomedical Research Excellence (ME-INBRE) enters its 22nd year (and the fourth of the current five-year funding cycle) it is exciting to reflect on what we’ve accomplished and how we are positioned to further augment and expand biomedical research excellence in Maine. This National Institutes of Health (NIGMS) funded Institutional…

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Cloud Computing 101

There’s a good chance that by now, many of you have heard of “cloud computing.”  You might have even read the recent news about the project carried out by the Maine INBRE Bioinformatics Core under the auspices of the NIH Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative. So what is cloud…

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Bioinformatics: The Importance of Training the Trainer

MDI Biological Laboratory is beyond pleased to be hosting the upcoming Bioinformatics T3: Train the Trainer from June 26 until July 3 – not only because this is a vital and expanding field or because of our passion for educating the next generation of amazing scientists – but because we are able to welcome folks back to…

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MINOTA 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…

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Part 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…

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Bioinformatics 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…

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Part I: Computational Biology is vital to modern research

But what exactly is it and why does science need it? The typical interpretation of this figure is that the arrows represent the “flow of information”: that DNA is capable of self-replication (represented by the circular arrow); that the information stored in DNA is activated by first being transcribed to RNA (resulting in an RNA…

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Course Spotlight >> The Colby INBRE Course: Taking the Cookie Cutter Out of STEM Education

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REGEN2017 Students Share Their Thoughts

The  MDI Biological Laboratory’s recent signature course in comparative regenerative biology, REGEN2017, attracted senior graduate students, post-docs and junior faculty from around the world. Here, some of the students talk about what the experience meant to them. Pictured above: Susannah Kassmer, Ph.D., post-doctoral fellow, University of California-Santa Barbara.    ‘I want to help people who…

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