- Unique identifier:
- Web user interface
- Input data:
- QUILTS can take in up to 4 inputs for sample-specific database creation: (i) a BED file containing RNA-Seq predicted junctions; VCF files containing (ii) somatic variants and (iii) germline variants; and (iv) a fusion file containing all predicted fusion genes.
- Computer skills:
- Quantitative Integrated Library of Translated SNPs/Splicing
- Restrictions to use:
- Output data:
- The output of QUILTS is a protein sequence FASTA file, using either Ensembl or RefSeq as a reference for the hg19 proteome and genome.
No open topic.
(Ruggles et al., 2016)
An Analysis of the Sensitivity of Proteogenomic Mapping of Somatic Mutations and Novel Splicing Events in Cancer.
Mol Cell Proteomics.
PMID: 26631509 DOI: 10.1074/mcp.M115.056226
New York University School of Medicine, New York, NY, USA; Biomedical Hosting, LLC, Arlington, MA, USA; Washington University in St. Louis, St. Louis, MO, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA; Vanderbilt University School of Medicine, Nashville, TN, USA; Universtiy of North Carolina School of Medicine, Chapel Hill, NC, USA; Pacific Northwest National Laboratory, Richland, WA, USA; Johns Hopkins University, Baltimore, MD, USA; Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD, USA
This work was supported by National Cancer Institute (NCI) CPTAC awards U24CA159988, U24CA160019, U24CA160034, U24CA160035, U24CA160036 and by CPTAC contract 13XS068 from Leidos Biomedical Research, Inc.
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