Use the NIA Research Resources database to find NIA-supported scientific resources, datasets, informatics resources, and more. Search by keyword, resource type, or NIA Division or IRP.
VennPlex is a novel Venn diagram generating tool that can separate factors between two to four input datasets. VennPlex has been designed to separate data which possesses a sortable denominator (e.g. official Gene Symbol) with an associated variable numerator (e.g. z-ratio value). VennPlex can separate denominators between sets and also demonstrate the differences in the numerator values for denominators common to multiple set intersections that possess distinct numerical values. Read more about VennPlex and download the file.
VENNTURE is a novel Venn diagram-generating tool that can accommodate the input of up to 6 distinct data sets from an Excel spreadsheet. VENNTURE allows Venn diagram set image generation with additional intersection data representation viewing modes. The Venn segment contents can either be viewed in the VENNTURE Venn diagram image itself or they can be exported to an annotated Excel spreadsheet.
This software is available for download and is contained in a Winzip file along with the NIH Software Transfer Agreement and a PDF formatted copy of the journal article. Download the VENNTURE ZIP file. Please cite the following paper when employing this tool in publications or other forms of media:
Martin B, Chadwick W, Yi T, Park SS, Lu D, Ni B, Gadkaree S, Farhang K, Becker KG, Maudsley S. VENNTURE–A Novel Venn Diagram Investigational Tool for Multiple Pharmacological Dataset Analysis. PLoS ONE 10.1371/journal.pone.0036911
WND-CHARM is an acronym that stands for "Weighted Neighbor Distance using Compound Hierarchy of Algorithms Representing Morphology. "WND-CHARM is a multi-purpose image classifier that can be applied to a wide variety of image classification tasks without modifications or fine-tuning, and yet provides classification accuracy comparable to state-of-the-art task-specific image classifiers. WND-CHARM can extract up to ~3,000 generic image descriptors (features) including polynomial decompositions, high contrast features, pixel statistics, and textures. These features are derived from the raw image, transforms of the image, and compound transforms of the image (transforms of transforms). The features are filtered and weighted depending on their effectiveness in discriminating between a set of predefined image classes (the training set). These features are then used to classify test images based on their similarity to the training classes. This classifier was tested on a wide variety of imaging problems including biological and medical image classification using several imaging modalities, face recognition, and other pattern recognition tasks.
XYT Event Detector
XYT Event Detector detects and analyses time-dependent increases in intensity of a fluorescent indicator recorded by high-speed 2D cameras. Specifically, the program was developed and tuned to detect Local Calcium Releases in cardiac pacemaker cells. It works with stacks of tif images of Ca signals measured in living cells. The consecutive images in the stack represent the intensity of local Ca dynamics measured with a fixed sampling rate by a high-speed camera and a fluorescent Ca indicator. When pacemaker cells generate a cardiac impulse, the action potential induces a global Ca increase in cytoplasmic Ca (dubbed AP-induced Ca transient). The program identifies and eliminates global signal shifts and transients and detects only local signals. Read more about the XYT Event Detector.
Comparative Biology of Aging Resource Sharing Network
This webpage describes a network of NIA grantees willing to share resources that support comparative biology of aging studies.
Human Biospecimen Collections
NIA supports studies of human aging that have collections of biospecimens available for sharing. The Virtual Repository is a Web site that provides a central portal to these studies, with introductory information on participating studies.
To facilitate aging research on cells in culture, the NIA provides support for the NIA Aging Cell Repository, located at the Coriell Institute for Medical Research in Camden, NJ. Included are skin fibroblast cultures from individuals with premature aging syndromes, including Werner and Hutchinson-Guilford (progeria), cultures from clinically documented and at-risk individuals from families exhibiting familial Alzheimer's disease, differentiated cell lines, and cell lines from animals. The repository also has DNA from many of the cell lines, available individually or in panels such as the Primate DNA panel, Aging Syndrome DNA panel, Characterized Alzheimer's disease mutation DNA panel, Early and Late Onset Alzheimer's disease DNA panels, and Aged Sib Pairs DNA panel.