This contains several scRNA-seq datasets in H5AD format and notebook for generating analysis results and figures regarding the number of zeros in scRNA-seq data.

This deposit contains a snapshot of data, and a Jupyter notebook that was used to generate figures from the data, which serves as an example for how the data can be investigated

Code for producing the analysis in the "Quantifying the tradeoff between sequencing depth and cell number in single-cell RNA-seq" by Valentine Svensson, Eduardo Beltrame and Lior Pachter

This dataset contains ten 10X scRNA-seq datasets (two v2 from Desai et al., DOI: 10.1126/science.abc6506, eight v3 generated by 10X Genomics) that have been processed using pipelines for spliced and unspliced molecule quantification. We used velocyto, kallisto|bustools (kb), and salmon/alevin-fry to process the raw FASTQ files, and output loompy...

This deposit contains the raw and processed data and documents for the article, 'Combinatorial expression motifs in signaling pathways.' Code and analysis (organized by figure) are available at the GitHub repository https://github.com/nkanrar/motifs and Caltech DATA https://data.caltech.edu/records/bgm15-18g17. Please see the related publication...

This deposit contains the code and analysis for the manuscript, 'Combinatorial expression motifs in signaling pathways.' Data are available at the CaltechDATA repository https://. Please see the related publication for more details, and contact the corresponding authors for any questions.