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National Cancer Institute
U.S. National Institutes of Health www.cancer.gov
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Sequence Analysis

What would you like to do?

Perform common DNA sequence analysis tasks on your own data

View DNA sequence alignments, search for patterns, and promoter regions
(Available through geWorkbench)

Analyze SNP array data to identify SNPs, copy number variation (CNV), and loss of heterozygosity (LOH)
(Available through GenePattern)

Search database of genome annotations integrated with clinical outcomes
(Available through cancer Bioinformatics Infrastructure Objects hosted by multiple entities)

Search, integrate, analyze, and report associations between disease and genetic variations (SNPs), drug response, and other clinical outcomes
(Available through the caBIG® Genome-Wide Association Scan)

View and download genomic and clinical data from a wide variety of cancer types

Access genomic/clinical data on glioblastoma multiforme (GBM) and ovarian tumors
(Available through The Cancer Genome Atlas)

Access prostate and breast cancer SNPs
(Available through Cancer Genetic Markers of Susceptibility)

Access gene expression/genomic characterizations and gene sequencing data for acute lymphoblastic and myeloid leukemias (ALL and AML), neuroblastoma, osteosarcoma, and high-risk Wilms tumor in children
(Available through Therapeutically Applicable Research to Generate Effective Treatments)

Access microarray-based gene expression data, images, SNPs, and patient outcome data from multiple studies
(Available through NCI-hosted instance of caIntegrator)

Access microarray gene expression data across a variety of cancers
(Available through NCI-hosted instance of caArray)

Access human genes that have associations with cancer
(Available through the Cancer Gene Index)

Conduct in silico research with existing data

Correlate genomic and expression data with outcomes using analytical tools from the NCI-hosted instance of caIntegrator and data from The Cancer Genome Atlas (TCGA), Therapeutically Applicable Research to Generate Effective Treatment (TARGET), Repository for Molecular Brain Neoplasia Data (REMBRANDT), the Director's Challenge Lung Cancer Study, and the CoCaNUT colon cancer study.

Examine gene and chromosomal information, analyze expression data, and correlate this information with clinical outcomes data fromThe Cancer Genome Atlas (TCGA), Repository for Molecular Brain Neoplasia Data (REMBRANDT), and Therapeutically Applicable Research to Generate Effective Treatment (TARGET), programs using the caBIG® Molecular Analysis (CMA) Portal.

Examine gene expression, gene copy number data, and clinical outcomes from glioma patients the Repository for Molecular Brain Neoplasia Data (REMBRANDT).

caBIG® This portal is maintained by cancer Biomedical Informatics Grid® (caBIG®). Learn more at: http://cabig.cancer.gov/ | https://cabig.nci.nih.gov/