caNanoLab logo

  • Version Number and Release Date: caNanoLab 2.0 December 2014
  • Primary audience: Investigators and researchers interested in information about the characterizations of nanomaterials used in biomedical research
  • Installation Level: Intermediate - technical assistance may be required, download may require supporting infrastructure or software
  • System Requirements: This is a web-based application that can be accessed through an industry standard browser. Installation requires:
  • Memory 1GB or more (Linux, Solaris, or Windows)
  • Disk storage 36 GB (minimum)
  • Database Server: MySQL v 5.1.x
  • JBoss Application Server, 5.1.0
  • JRE/JDK 1.6.x

Tool Overview

caNanoLab provides access to information on:

caNanoLab was developed as a collaboration between the NCI Center for Biomedical Informatics and Information Technology (CBIIT), the NCI Nanotechnology Characterization Laboratory (NCL), and the NCI Cancer Centers of Nanotechnology Excellence (CCNEs).

Installation and Downloads

Downloads for caNanoLab are available as listed here. The caNanoLab Software License applies. There is also a caNanoLab GitHub Repository

caNanoLab 2.0 Artifacts

caNanoLab 1.5.5 Artifacts

caNanoLab Archives

Downloadable files from previous releases of caNanoLab are also available from the caNanoLab GForge files tab archive.

caNanoLab Users Group

Forum and Support

Presentations, Demos and Other Materials

Refer to caNanoLab Presentations, Demos and Other Materials.

Documentation and Training

Related Tools and Terminology

Data Curation

Data curation is a key component for ensuring that data is appropriately annotated to facilitate data sharing in a semantically interoperable fashion. Data curation activities on caNanoLab are currently performed by nanotechnology data scientists at Washington University and the Nanotechnology Characterization Laboratory (NCL). Data curators assist in extracting data from publications and nanotechnology experiments, annotating extracted data, and providing overall data quality control. If you are interested in submitting your data into caNanoLab, please contact the caNanoLab Users Listserv.