eagle-i Harvard UniversityHarvard University
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Data analysis services

eagle-i ID

http://harvard.eagle-i.net/i/0000014f-93ab-9ed8-3cf9-96c780000000

Resource Type

  1. Data analysis service

Properties

  1. Fee for service
    Yes
  2. Resource Description
    • Analysis of high throughput sequencing, microarray, proteomic and metabolomics data. • RNA-Seq analysis (mRNA expression/alternate splicing/isoforms/novel transcripts or gene/ Gene fusion/ detection of RNA editing) • Variation discovery/allele analysis (CNV/SNP) from Exome or DNA-Seq data • Analysis of epigenomics and DNA Methylation data • Analysis of Microbiome sequencing data • Single cell mRNA-Seq data analysis from various platforms. • Chip-Seq Data analysis • Integrated analysis of transcriptome, miRNA, epigenome and proteomics data • Pathway and functional enrichment analysis • Systems biology analysis of data • Development of predictors using Bayesian, SVM, ANN, and KNN Algorithms for diagnosis and prognosis of disease. • Target design for enrichment and deep sequencing • Antigenicity (T & B cell epitope prediction) • Prediction of immunotherapy Candidates • Data and text mining from Public databases and literature The core provides express analysis service (48hrs) for standard RNASEQ, Variant, ChiP-Seq, Proteomics and Metabolomics data at premium rates. For enquiry, please email mbhasin@bidmc.harvard.edu
  3. Service Fee URL
    http://www.bidmc.org/Research/Core-Facilities/Bioinformatics-and-Systems-Biology-Core/Fees.aspx
  4. Service Provided by
    Bioinformatics & Systems Biology Core (BIDMC)
  5. Website(s)
    http://www.bidmc.org/Research/Core-Facilities/Bioinformatics-and-Systems-Biology-Core.aspx
  6. Related Technique
    Pathway data analysis
  7. Related Technique
    Systems biology analysis
  8. Related Technique
    Text mining
  9. Related Technique
    Protein expression profiling
 
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Provenance Metadata About This Resource Record

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016