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  • Applied Bioinformatics
    Laboratory (ABiL)

    A private-public partnership between
    IHRC, Inc., and Georgia Tech

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  • Applied Bioinformatics
    Laboratory (ABiL)

    Custom-designed services and training
    for all of your bioinformatics needs

    Read More

  • Bioinformatics Services & Consulting

    A wide variety of bioinformatics and project
    management services

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  • Workforce Development Training

    Personalized, hands-on bioinformatics training
    tailored to your specific needs

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  • Applied Bioinformatics
    Laboratory (ABiL)

OUR SERVICES

The ABiL partnership combines the program management experience of IHRC with the bioinformatics expertise of Georgia Tech. ABiL offers a wide range of bioinformatics services to address data analysis and workforce development needs.

Omics Analysis

Genomics, proteomics, transcriptomics & epigenomics

Development

Development of bioinformatics analysis platforms

Molecular Typing

Genome-based typing, genotype-phenotype correlation

Consulting

Bioinformatics project conception, planning & execution

Big Data

High performance & cloud computing. Data mining & machine learning.

Training

Hands-on instructional modules for bioinformatics

PUBLICATIONS

We are active members of the scientific community. Browse a list of publications produced by members of our team within the last year.

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FREQUENTLY ASKED QUESTIONS

Have questions about our bioinformatics research or training? Find answers on our FAQ page!

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PAST PERFORMANCE

Browse our list of clients and see what they are saying about our training and research services.

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TOOL DEVELOPMENT

Browse the list of computational tools developed by ABiL team members.

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ABOUT US

The Applied Bioinformatics Laboratory (ABiL) is a private-public partnership between IHRC Inc. and the Georgia Institute of Technology Bioinformatics Program. ABiL scientists work collaboratively with partners from government, academic, non-profit and industry sectors to provide custom-designed and turn-key bioinformatics solutions for a variety of data analysis challenges.


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