Innovation Center for Biomedical Informatics (ICBI) at Georgetown University (ICBI)

Innovation Center for Biomedical Informatics (ICBI) at Georgetown University

ICBI

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ICBI at Georgetown University Medical Center is an academic hub for cutting-edge research in biomedical informatics. Connect with us @ICBI_Georgetown

Location:Washington, DC

Home Page:http://icbi.georgetown.edu/

Twitter:@ICBI_Georgetown

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Innovation Center for Biomedical Informatics (ICBI) at Georgetown University's repositories

viGEN

viGEN - A bioinformatics pipeline for the exploration of viral RNA in human NGS data

neoantigeR

a R package to identify neoantigens from NGS data

gdoc

G-DOC Web Application

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Open-Science-Projects

Open Science Projects at Georgetown-ICBI

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medturk

medTurk (inspired by Amazon's Mechanical Turk) supports clinical research by using the ingenuity of humans to convert unstructured clinical notes into structured data.

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BISR_Resource

Tutorials and training material from Georgetown University Biomedical Informatics Shared Resources (BISR)

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CINdex

CINdex Bioconductor package. Read more here: https://www.bioconductor.org/packages/release/bioc/html/CINdex.html

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rembrandt-mri

Code used for the REMBRANDT MRI paper

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sevenbridgesworkflows

Genomics pipelines in JSON format

SIGH

Significant Intratumor Genomic Heterogeneity

.github

Welcome to Georgetown University Innovation Center for Biomedical Informatics !

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AIMAHEAD_GU

AIM AHEAD at Georgetown University

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AIMAHEAD_GU_publicCourseData

Public repository containing public materials for associated online courses

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AISAIC

Accurate Identification of Significant Aberrations in Cancer Genome (AISAIC)

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Data.Bridge.Notebooks

AIM AHEAD Data Bridge Notebooks

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grails-gcore

G-CORE Project

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Supporting-Files-For-Grants

Supporting Files For Grants

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analysis-server

Analysis server

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ICBI_multi_omics_processing_public

Describes our multi omics analysis workflow

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MACE2K

MACE2K project members develop new computational methods and software to retrieve genes, disease, variant, drug related information from multiple sources of big data including: clinicaltrials.gov, PubMed abstracts, open access articles, and conference proceedings. The software suite primarily contains natural language processing features, machine learning tools and a data visualization module to view and edit relationships between entities extracted. This suite supports biocurators in their workflow to capture the best available evidence for Precision Medicine from unstructured text.

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OPRMA

Online Platform for RNA Modification Analysis (OPRMA) for CLIP-seq data analysis

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