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Before I start working on this, does anyone have a tool that identifies which build a set of gene coordinates belongs to from among the human genome builds? I have run into several papers where the authors do not identify the build, and it is clearly not the latest. The idea would be to take a large sample of the coordinates of unknown build and screen them against the last X number of builds to find 100% exact matches. Once known, then the data can easily be lifted from build to build using Galaxy.
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Professor of Pharmaceutical Sciences at Southern Illinois University. Subject of the Personal Genomes Project with CGI genome sequencing, funded by a university seed grant. Annotated human and mouse genomes at the Washington University (St. Louis) GSC during Bob Waterston's tenure. Worked in nematode gene discovery at Divergence, Inc. Recent NSF grant in yeast recombinant genetics. Teach pharmacogenomics, human genomics and pharmaceutical biotechnology.
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Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
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Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.
There is no single reason why many patients don’t respond to treatment as expected. Cancer is...07-08-2026, 05:17 AM