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groupedstats

Grouped statistical analysis in a tidy way 🔁💪♻

growth-curve-fitting

Fitting von Bertalanffy based growth parameterisations to data

growth_curve_fitting

Fit growth curves with a gompertz model

hackintosh-nuc10i7

hackintosh-t480s

macOS on Lenovo ThinkPad T480s，联想 T480s 黑苹果，Catalina/Mojave

hackintosh-threadripper-1950x-gigabyte-x399-aorus-extreme

homebrew-bio

:beer::microscope: Bioinformatics formulae for the Homebrew package manager (macOS and Linux)

imetaplot

iMeta teaches you to plot

in-depth-ngs-data-analysis-course

Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.

insight

:crystal_ball: Easy access to model information for various model objects

learning-perl-sample-files

Extra files for use with Learning Perl

learning_vcf_file

Learning the Variant Call Format

liu2020proteincell

Pipeline & Reproducible analysis examples for amplicon and metagenome in microbiome

main

markdownpic

just the pic for blog

metagenome

Metagenome analysis pipeline

metagenomeseq

Statistical analysis for sparse high-throughput sequencing

metamicrobiome

MetaMicrobiome: an R package for the meta-analysis and visualization of microbiome.

microbiome

Microbiome codes and Peplines

microbiomeprotocol

Microbiome Protocol eBook related documents and scripts.

microbiomestatplot

Interpretation and visualization of microbiome charts

microbiotaprocess

microbiotaprocessworkshop

The workshop of microbiome datasets analysis using MicrobiotaProcess

modelbased

:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models

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.

mothur-1

R package to work with output files from mothur

motifstack

Plot stacked logos for single or multiple DNA, RNA and amino acid sequence

motifstack.documentation

documentation of motifStack

motifstack_input

motifstackworkshop

workshop for motifStack