awesome single cell

We have hosted the application awesome single cell in order to run this application in our online workstations with Wine or directly.

Quick description about awesome single cell:

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. Rapid, accurate and memory-frugal preprocessing of single-cell and single-nucleus RNA-seq data. Find bimodal, unimodal, and multimodal features in your data. Ascend is an R package comprised of fast, streamlined analysis functions optimized to address the statistical challenges of single cell RNA-seq. The package incorporates novel and established methods to provide a flexible framework to perform filtering, quality control, normalization, dimension reduction, clustering, differential expression and a wide-range of plotting. An analytical framework for big-scale single cell data. Transform percentage-based units into a 2d space to evaluate changes in distribution with both magnitude and direction.

Features:

• Find bimodal, unimodal, and multimodal features in your data
• An analytical framework for big-scale single cell data
• Cell population analysis and visualization from single cell RNA-seq data using a Latent Dirichlet Allocation model
• Representation Learning for detection of phenotype-associated cell subsets
• Bayesian pseudotime estimation algorithms
• Basic PCA-based workflow for analysis and plotting of single cell RNA-seq data
• And more

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