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Juan Diego Gaitan-Espitia's Projects

eecseq icon eecseq

Protocol for Expressed Exome Capture Sequencing

emp icon emp

Data, code, and analysis results for the Earth Microbiome Project.

emperor icon emperor

Emperor a tool for the analysis and visualization of large microbial ecology datasets

epurate icon epurate

A clean R Markdown template for your reports

esa2016rfunctions icon esa2016rfunctions

The repository for course materials for the ESA 2016 Workshop I am running.

ete icon ete

Python package for building, comparing, annotating, manipulating and visualising trees. It provides a comprehensive API and a collection of command line tools, including utilities to work with the NCBI taxonomy tree.

euroibd icon euroibd

Code to do data processing and create figures for "The geography of recent genetic ancestry across Europe", http://arxiv.org/abs/1207.3815

fastp icon fastp

An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting...)

ffq icon ffq

A tool to find sequencing data and metadata from public databases.

findorf icon findorf

ORF prediction of de novo transcriptome assemblies

flye icon flye

De novo assembler for single molecule sequencing reads using repeat graphs

gen242 icon gen242

Class: Data Analysis in Genome Biology

ggsignif icon ggsignif

Easily add significance brackets to your ggplots

ggtree icon ggtree

:christmas_tree:Visualization and annotation of phylogenetic trees

git-novice icon git-novice

Software Carpentry introduction to Git for novices.

gmrad icon gmrad

gmRAD: an integrated pipeline to call SNP genotypes across a hybrid population for genetic mapping with RADseq data

gneiss icon gneiss

compositional data analysis and visualization toolbox

gofeat icon gofeat

GO FEAT: a rapid web-based functional annotation tool for genomic and transcriptomic data

griffithlab_rnaseq_tutorial icon griffithlab_rnaseq_tutorial

Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.

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