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Alabama Department of Environmental Management
- Montgomery, AL
- https://justinbagley.org/
- @justincbagley
Highlights
Starred repositories
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
21 Lessons, Get Started Building with Generative AI
A system-level, binary package and environment manager running on all major operating systems and platforms.
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
Automatically exported from code.google.com/p/cdhit
Exitwp is tool primarily aimed for making migration from one or more wordpress blogs to the jekyll blog engine as easy as possible.
A quality control analysis tool for high throughput sequencing data
A set of tools written in Perl and C++ for working with VCF files, such as those generated by the 1000 Genomes Project.
Shell scripting utility functions and a bash script boilerplate template
Automatically exported from code.google.com/p/figtree
Minimal tutorial on making a simple website with GitHub Pages
Effective selection of population size projection for construction of the site frequency spectrum. Convert VCF to dadi/fastsimcoal style SFS for demographic analysis
Recovering genes from targeted sequence capture data
A statistical framework for ploidy estimation using NGS short-read data
G-PhoCS is a software package for inferring ancestral population sizes, population divergence times, and migration rates from individual genome sequences.
Automatically exported from code.google.com/p/densitree
Bioinformatic pipeline for processing Sequence Capture data for Phylogenetics
Scripts for file processing and analysis in phylogenetics and phylogeography
Utilities for automating bgc (Bayesian genomic cline) file prep, analysis, and results plotting
Analyses done on sequence capture data from a Illumina HiSeq3000 and NextSeq, PE100 and PE150 respectively. The data were analyzed using the HybPiper pipeline
Results from our project "Using ecological niche modeling to predict the response of Hydrocotyle bonariensis to global climate change"