Project description:The demo dataset of ApuQuant for testing consists of DIA data acquired by Orbitrap Astral mass spectrometer. This submission includes two demo datasets together with the corresponding DIA-NN identification results. Demo Data I contains raw files from low-input samples with four technical replicates, as well as the corresponding DIA-NN identification results. Demo Data II contains raw files from dead cell samples with three technical replicates and large-sized cell samples with three technical replicates, together with the corresponding DIA-NN identification results. These datasets are provided as representative test data for evaluating the performance of ApuQuant on challenging DIA proteomics samples, including low-input samples and biologically distinct cell populations. The raw mass spectrometry files and search results can be used for demonstration, benchmarking, and reproducibility assessment of the ApuQuant workflow.
Project description:We developed a spatially resolved RNA-seq protocol based on laser capture microdissection (LCM) and spatial barcoding strategy termed Spatial-seq. Here, we provide the demo transcriptomic data derived from mouse hypothalamus and isocortex regions for applications of our newly proposed spatial deconvolution algorithm termed Bulk2Space. We want to reveal the spatial heterogeneity and cellular diversity within the bulk brain region.
Project description:The demo datasets available for MSCohort analysis. You can download to inspect their formats and practice using the software tool. This dataset contains raw files of 7 urine QC samples, spectronaut analysis results and MSCohort report results
