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Peng Wu's Projects

love icon love

My love story with MaryNee

mg-rast icon mg-rast

metagenomic analysis server site code

mothur icon mothur

Welcome to the mothur project, initiated by Dr. Patrick Schloss and his software development team in the Department of Microbiology & Immunology at The University of Michigan. This project seeks to develop a single piece of open-source, expandable software to fill the bioinformatics needs of the microbial ecology community.

my-git icon my-git

Individual collecting material of learning git(有关 git 的学习资料)

my_lab icon my_lab

用于记录实验室数据分析的Code

oh-my-zsh icon oh-my-zsh

A delightful community-driven (with 1,000+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

open-science icon open-science

:microscope: Open, reproducible science using Make, RMarkdown and Pandoc

phyloseq icon phyloseq

phyloseq is a set of classes, wrappers, and tools (in R) to make it easier to import, store, and analyze phylogenetic sequencing data; and to reproducibly share that data and analysis with others. See the phyloseq front page:

play-google icon play-google

Play-Google可以快速地搭建一台Google搜索服务器。

qiime2 icon qiime2

Official repository for the QIIME 2 framework

qpcr_invivo_experiment icon qpcr_invivo_experiment

Analysis of qPCR Experiments: Analysis of qPCR data obtained from WT and PC-SHH-KO mice infected with Helicobacter pylori or uninfected. Two types of statistical tests are performed: Interaction plots and Two-way ANOVA.

r6 icon r6

R objects with reference semantics

rodeo icon rodeo

A data science IDE for Python

rrumen icon rrumen

a collection of R functions for rumen microbial data analysis

swirl_courses icon swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

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