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NextGENe

eagle-i ID

http://eagle-i.itmat.upenn.edu/i/00000139-080a-3a31-eb5b-b63c80000000

Resource Type

  1. Software

Properties

  1. Resource Description
    "NextGENe is the perfect analytical partner for the analysis of desktop sequencing data produced by the ION PGM™, Roche Junior, Illumina MiSeq as well as high throughput systems as the Roche FLX, Applied BioSystems SOLiD™ and Illumina® GA, and HiSeq systems. NextGENe software, which runs on a Windows® Operating System, provides a biologist-friendly point & click interface that does not require scripting or other bioinformatics support, often required when using programs such as CLC Bio, LaserGene, NGEN, MAQ,SOAP,Top Hat, BWA and Bowtie. NextGENe software employs unique sequencing platform specific technologies in one free-standing multi-application package: • SNP/INDEL & Structural Variant Analysis • Prediction and Rare Disease Discovery • Whole Genome Alignment • Transcriptome/RNA-SEQ: Expression and Alternative Splicing Analysis • miRNA, ChipSeq, Serial Analysis of Gene Expression (SAGE) & Digital Gene Expression (DGE) Analysis • de novo assembly • Targeted Re-Sequencing • Forensic Profiling • Automation Pipeline"
  2. Manufacturer
    SoftGenetics, LLC
  3. Used by
    DNA Sequencing Facility (Penn)
  4. Operating System
    Windows
  5. Data Input
    DNA sequence data
  6. Software purpose
    Sequence analysis objective
  7. Website(s)
    http://www.softgenetics.com/NextGENe.php
  8. Related Technique
    Next generation DNA sequencing
  9. Related Technique
    Ion torrent next generation sequencing
  10. Related Technique
    RNA sequencing
  11. Related Technique
    DNA sequencing assay
  12. Related Technique
    ChIP-seq assay
  13. Software license
    Proprietary commercial software license
 
RDFRDF
 
Provenance Metadata About This Resource Record
  1. workflow state
    Published
  2. contributor
    fcoldren
  3. created
    2012-08-08T16:01:19.253-05:00
  4. creator
    fcoldren
  5. modified
    2016-05-04T17:18:46.752-04:00

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