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Gene Set + S2G strategy annotations analyzed for disease architecture
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
fengyq / AmpUMI
Forked from pinellolab/AmpUMIToolkit for the design and analysis of amplicon sequencing experiments utilizing unique molecular identifiers (UMIs)
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
Detect and visualize target mutations by scanning FastQ files directly
fengyq / modeltest
Forked from ddarriba/modeltestBest-fit model selection
A cross-platform and ultrafast toolkit for FASTA/Q file manipulation
A anti-censorship HTTP proxy with builtin shadowsocks support.