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crc-multi-kingdom

This is the supplementary code for CRC-multi-kingdom

crc_learn

Code and analysis results for the CRC shotgun meta-analysis

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

dna-seq-gatk-variant-calling

This Snakemake pipeline implements the GATK best-practices workflow

genomes-pipeline

MGnify genome analysis pipeline

groningen-microbiome

Microbiome Projects from the Department of Genetics and Department of Gastroenterology and Hepatology , University Medical Centre Groningen

machine-learning-with-python

此项目是我在学习《机器学习实战》这本书时的代码记录情况，用python实现，当然也会包括一些其他的机器学习算法，使用Python实现

machine_learning_examples

A collection of machine learning examples and tutorials.

machinelearning

Machine learning algorithms implemented by pure numpy

main_paper_figures

Code used to generate figures for the MetaSUB Main Paper Released August 2019

ngs-pipeline

By study this, it won't be costly or time-consuming to customize a NGS data analysis pipeline

r_oop

:art: R语言面向对象编程教程 https://dataxujing.github.io/R_oop/

snakemake_singularity

Recovery of prokaryotic genomes from shotgun metagenomic sequencing data

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

wes-pipelines

Benchmarking of aligners and variant callers for Whole Exome Sequencing data

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