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A tool for somatic structural variant calling using long reads
Structural variant discovery and genotyping from mapped PacBio HiFi data
Tools to convert Illumina IDAT/BPM/EGT/GTC and Affymetrix CEL/CHP files to VCF
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
R-based Xenium Spatial Analysis Toolkit to assess gene expression gradients
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CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own HUMAN single-cell transcriptomics data.
A toolkit for optimal workflow recommendation for proteomics data differential expression analysis
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
Functions for identifying and characterizing continuous developmental trajectories in single-cell data.
Python implementation of the Slingshot pseudotime algorithm
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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机器学习、深度学习的学习路径及知识总结
Long read based human genomic structural variation detection with cuteSV
An S3 data object and framework for common quantitative proteomic analyses
One-step biological analysis pipeline for quantitative proteomics data
CytoTRACE 2 is an interpretable AI method for predicting cellular potency and absolute developmental potential from scRNA-seq data.
Aligning gene expression trajectories of single-cell reference and query systems
pbsv - PacBio structural variant (SV) calling and analysis tools