Applied Bioinformatics Laboratory (appliedbinf)

Applied Bioinformatics Laboratory

appliedbinf

Geek Repo

ABiL offers a wide range of bioinformatics services to address data analysis and workforce development needs.

Location:Atlanta, GA

Home Page:https://appliedbinf.com

Twitter:@appliedbinf

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Applied Bioinformatics Laboratory's repositories

covid19-event-risk-planner

COVID19 risk planner R-Shiny application

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pima

Plasmid and antimicrobial resistance pipeline

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2021-QBiosWorkshop

R shiny examples for QBios Workshop May 2021

pima-docker

Seperating the Docker Installation and codebase from the core pima codebase. This way the latest version is always created with the latest docker

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CovidOnCampus-API-Bridge

Serverless API bridge

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GaTech-Weitz-ShieldImmunity

Weitz Sheild Immunity dashboard components

URDO-SMOREd

Sequence Matching fOr REpiratory Diseases, SMORE'D, is a command-line sequence classification tool tailored to meet the needs of the Undiagnosed Respiratory Disease Outbreak (URDO) branch at CDC. SMORE'D is a k-mer based classification tool capable of rapidly classifying read sequences generated by multi-pathogen detection platforms.

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covid_shield_immunity

Modeling the Role of ‘Shield Immunity’ in Reducing COVID-19 Epidemic Spread

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genecaller

A stringMLST-based approach to gene calling and annotation

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MAGEmodel_covid19_GA

Metapopulation AGe-structured Epidemiological (MAGE) model for COVID-19 in Georgia

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pima-docker2

Volume based Pima Docker

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pima_md

This implementation of PIMA uses Markdown instead of tectonic. Operation is largely the same though the packages used slightly different.

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URDO-CANDy

CANDy, the Custom AmplicoN Database tool, allows users to create custom BLAST databases using amplicons created with in silico PCR

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constructor

tool for creating installers from conda packages

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GaTech-Weitz-SheildImmunity-FrontEnd

Bootstrap frontend for shieldimmunity.org

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hope

Assessment of homopolymer performance of ONT sequencing

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mycetomatis_analysis_workflow

Collection of scripts describing how Mycetomatis datasets were processed

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