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Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational methods to analyse large collections of biological data, such as genetic sequences, cell populations or protein samples, to make new predictions or discover new biology. The computational methods used include analytical methods, mathematical modelling and simulation.
By using genetic admixture in the multi-omic analysis of postmortem brains from Black Americans, we show that genetic ancestry influences gene expression in the brain. Notably, we find enrichment of ancestry-associated genes for immune response and vascular function, but not neuronal function. Our findings have potential implications for stroke, Parkinson’s disease and Alzheimer’s disease.
Pebblescout navigates vast, rapidly growing nucleotide content in resources by providing indexing and search capabilities. We used Pebblescout to index a metagenomic subset of Sequence Read Archive and seven other resources into databases spanning over 3.7 petabases and searchable interactively at a pilot website using queries as short as 42 bases.
MISATO, a dataset for structure-based drug discovery combines quantum mechanics property data and molecular dynamics simulations on ~20,000 protein–ligand structures, substantially extends the amount of data available to the community and holds potential for advancing work in drug discovery.
MSstats is used for the statistical analysis of proteomics data from DIA mass spectrometry experiments. This protocol describes workflows using (i) the MSstatsShiny graphical user interface and (ii) the R packages MSstats or MSstatsBig (for larger datasets).
By using genetic admixture in the multi-omic analysis of postmortem brains from Black Americans, we show that genetic ancestry influences gene expression in the brain. Notably, we find enrichment of ancestry-associated genes for immune response and vascular function, but not neuronal function. Our findings have potential implications for stroke, Parkinson’s disease and Alzheimer’s disease.
Generative artificial intelligence (AI), exemplified by large language models such as ChatGPT, shows promise in mental health practice, aiding research, training and therapy. However, bias, inaccuracy and trust issues necessitate careful integration with human expertise.
As quantum technology advances, it holds immense potential to accelerate oncology discovery through enhanced molecular modeling, genomic analysis, medical imaging, and quantum sensing.
Pebblescout navigates vast, rapidly growing nucleotide content in resources by providing indexing and search capabilities. We used Pebblescout to index a metagenomic subset of Sequence Read Archive and seven other resources into databases spanning over 3.7 petabases and searchable interactively at a pilot website using queries as short as 42 bases.