Ever been to an event that shows just how unstoppable brilliant women are—even over Zoom? That’s exactly what happened at the recent Women in the Enterprise of Science and Technology (WEST) Career Possibilities Panel & Speed Networking event, where I had the pleasure of moderating. It was all about making bold moves and building valuable connections… Read More »Empowering Women in STEM
Lately, I’ve been reflecting on the rise of AI in the life sciences, especially after attending the International Conference on Intelligent Systems in Molecular Biology (ISMB). AI is a double-edged sword in our field; while it does hold promise for advancing the field, like automating data analysis and uncovering complex patterns in large datasets, it… Read More »AI in Life Sciences: A Roadmap for Integration
Bulk RNA-Seq uses short read sequencing to deliver a comprehensive snapshot of gene expression across the entire transcriptome, making it a powerful and versatile tool in drug development. This technology is widely used to facilitate the identification, validation, and optimization of new therapeutic strategies by providing detailed insights into gene expression profiles under various conditions.… Read More »Gene Set Enrichment Analysis to the Rescue
By analyzing the gene expression profiles of individual cells within a population, single-cell RNA sequencing (scRNA-seq) helps us to understand heterogeneity within cell populations, discover rare and novel cell types, and identify cell states associated with various biological processes and diseases. These unique advantages of scRNA-seq relative to previous measures of gene expression allow us… Read More »Harnessing GPT-4 for Enhanced Cell Classification
We do a lot of RNA-Seq analysis at Diamond Age Data Science, and we’ve found that most cases require customization or work above and beyond a standard one size fits all analysis plan. See how we approach these specialized scenarios, focusing on applications in drug discovery. https://diamondage.com/wp-content/uploads/2024/02/RNA-Seq-Analysis-for-Drug-Discovery.mp4
Being in the biopharma bubble often comes with a side of eyebrow-raising questions from those outside our world. “Why don’t we have a cure for cancer yet? Is Big Pharma hiding it?” I was asked this exact question one day while having my hair cut. I am not mocking this hairdresser. She was a reasonably… Read More »Science is Like a Box of Chocolates
Recently, I had the opportunity to review a batch of applications for newly-opened positions at Diamond Age. These resumes were different – they were redacted, like top-secret government files. Names, institutions, and dates older than seven years were hidden, leaving only the essential information to guide my evaluation. I was surprised at how much this… Read More »Resume redaction benefits everyone (including me)
Long-read sequencing technologies have revolutionized the field of genomics in recent years. These advances have opened up new avenues for biological discovery and drug development, enabling scientists to identify novel drug targets and develop personalized therapies. Diamond Age Data Science has successfully completed several client projects involving long read sequencing in a variety of applications… Read More »Long-read sequencing in drug discovery
I would like to share my optimism about two recent developments in the world of drug discovery.
Spatial transcriptomics profiles RNA expression in hundreds of areas of tissue without dissociating cells. It provides a 2D map of expression overlaid on a tissue slide, allowing researchers to focus on RNA expression in specific areas of the tissue.
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