JaneDY's repositories
lefse
LEfSe (Linear discriminant analysis Effect Size) determines the features (organisms, clades, operational taxonomic units, genes, or functions) most likely to explain differences between classes by coupling standard tests for statistical significance with additional tests encoding biological consistency and effect relevance.
bio_code
this project is content about my bioinformation analysis code .it may have R，Shell，Python.
cheatsheets
Official Matplotlib cheat sheets
china-holiday-calender
**节假日、调休、补班日历，ICS格式，可供IPhone、Google Calender、Outlook等客户端订阅
Chinese-medical-dialogue-data
Chinese medical dialogue data 中文医疗对话数据集
community-diversity
alpha and beta diversity
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
EasyAmplicon
Easy Amplicon data analysis pipeline
easystats
:milky_way: The R easystats-project
iMetaPlot
iMeta teaches you to plot
metaeuk
MetaEuk - sensitive, high-throughput gene discovery and annotation for large-scale eukaryotic metagenomics
metaGEM
:gem: An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data
metagenomics-vs-totalRNASeq
A repo for comparing metagenomics and total RNA-Seq, icnluding data-processing pipelines. Contains scripts to run pipelines on compute canada clusters or locally, as well as scripts for statistics.
microbiome_helper
A repository of bioinformatic scripts, SOPs, and tutorials for analyzing microbiome data.
microbiome_nf
Pipelines used in the lab.
microbiomeMarker
R package for microbiome biomarker discovery
MicrobiomeStatPlot
Interpretation and visualization of microbiome charts
Python-100-Days
Python - 100天从新手到大师
STAMP
Statistical Analysis of Metagenomic Profiles
wenyan-lang
文言文編程語言 A programming language for the ancient Chinese.