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

Biobanking Management

What would you like to do?

Create and manage a biospecimen repository

Store, annotate, manage, and distribute collected biospecimens

Assign role-based permission schemes for controlled access to different data types and functions

Create and manage multiple virtual or physical biospecimen repositories within a single location or across multiple sites

Create custom data entry forms for specific study or site needs using Dynamic Extensions

Create multiple reusable specimen collection protocol templates of pre-defined specimen processing schemes to speed sample collection and data entry

Locate, obtain, and share biospecimens for research

Manage the creation and distribution of samples (DNA, protein, extracts, etc.) derived from biospecimens

Locate biospecimens based on patient demographics, including search by study, treatment, or outcomes (caTissue connected to other applications of the caBIG® Clinical Trials Suite (CCTS))

Distribute and track shipments of biospecimen or derivatives across multiple sites

Query and download research data and images from biospecimens

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

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 pre-surgical brain tumor MRI images matched to gene expression data
(Available through Visually Accessible Rembrandt Images)

Access primary brain tumor data matched to molecular and clinical data
(Available through Repository for Molecular Brain Neoplasia Data)

Create and save complex queries that can be run as pre-defined or parameterized searches

Search structured information extracted from surgical pathology reports

Search a database of biospecimens by sample characteristics

Search across multiple clinical data sources on caGrid

Conduct in silico research on tumor samples and images

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 Treatments (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 from The Cancer Genome Atlas (TCGA), Repository for Molecular Brain Neoplasia Data (REMBRANDT), and Therapeutically Applicable Research to Generate Effective Treatments (TARGET) programs using the caBIG® Molecular Analysis (CMA) Portal.

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