antunderwood

github-readme-stats

:zap: Dynamically generated stats for your github readmes

shepherd

Guide your users through a tour of your app

MacPass

A native macOS KeePass client

jupyter-book

Create beautiful, publication-quality books and documents from computational content.

gprof2dot

Converts profiling output to a dot graph.

nextflow

A DSL for data-driven computational pipelines

middleclass

Object-orientation for Lua

onebody

private member portal for churches, built with Ruby on Rails

mosdepth

fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing

containers

Bioinformatics containers

addict

User management lib for Phoenix Framework

megahit

Ultra-fast and memory-efficient (meta-)genome assembler

wtdbg2

Redbean: A fuzzy Bruijn graph approach to long noisy reads assembly

lua_missions

Lua Koans, minus the Zen stuff

syri

Synteny and Rearrangement Identifier

miniasm

Ultrafast de novo assembly for long noisy reads (though having no consensus step)

papercrop

An easy extension for Paperclip to crop your image uploads using jCrop.

nextflu

Real-time tracking of influenza evolution

BactDating

Bayesian inference of ancestral dates on bacterial phylogenetic trees

MAGpy

Snakemake pipeline for downstream analysis of metagenome-assembled genomes (MAGs) (pronounced mag-pie)

bamtocov

🏔 coverage extraction from BAM/CRAM files, supporting targets 📊  

bactmap

A mapping-based pipeline for creating a phylogeny from bacterial whole genome sequences

ARC

Assembly by Reduced Complexity (ARC)

docker-multipass

Use multipass to create a docker instance for macOS

zen_knit

Zen-Knit is a formal (PDF), informal (HTML) report generator for data analyst and data scientist who wants to use python. RMarkdown Alternative for Python

love2d_gametemplate

This is a gametemplate for LÖVE engine using middleclass, stateful, love-loader, TESound and cron libraries.

crisprseq

A pipeline for the analysis of CRISPR edited data. It allows the evaluation of the quality of gene editing experiments using targeted next generation sequencing (NGS) data (`targeted`) as well as the discovery of important genes from knock-out or activation CRISPR-Cas9 screens using CRISPR pooled DNA (`screening`).

nanoflow

:microscope: De novo assembly of nanopore reads using nextflow

remove_blocks_from_aln

goeBURST

goeBURST in python