We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Vector Core produces gene transfer vectors that facilitate transfer of specific genes into either normal or aberrant cells. Provides intellectual and technical advice to researchers regarding the optimal use of these systems.
nano@stanford is a group of shared labs at Stanford University focused on fabrication and characterization at the nanoscale and microscale. The labs provide access to shared scientific instrumentation, laboratory infrastructure, and expert staff support to enable multidisciplinary research and educate tomorrow’s scientists and engineers.
Agilent Seahorse XF Pro analyzer measures and reports the oxygen consumption rate (OCR), proton efflux rate (PER) or extracellular acidification rate (ECAR), as well as ATP production rates of live cells in a 96-well format. This analyzer features excellent OCR precision at low rates, verified performance, optimized temperature control, and is automation enabled. The XF Pro analyzer is also equipped with advanced software, standardized workflows, and advanced data analytics available in the Agilent Seahorse Analytics software. These features greatly simplify the entire XF assay experience, from assay design to data QC and interpretation.
Core is supported by the Emory University School of Medicine. Enables large-scale, secure image extraction and de-identification to empower clinical, translational, and AI research.
Software tool to call somatic short mutations via local assembly of haplotypes. Somatic variant caller that uses local assembly and realignment to detect SNVs and indels.
Interactive database of protein protein interactions modeled by AlphaFold multimer. Classifier-curated database of AlphaFold-modeled protein-protein interactions.
Structural interactome viewer. Interactive database of endosomal protein-protein interactions identified by cross-linking mass spectrometry and modeled by AlphaFold multimer. Structural protein interactome of human early endosomes.
Web server for multistep T cell epitope prediction. Also considers proteasome cleavage and TAP binding, therefore it is able to mimic the MHC binding machnism in real life. At present only HLA class I alleles are included in the prediction.
Software Python library for parallel and distributed computing. Enables parallel and out-of-core computation.
Web-based visual exploration and analysis of genome interaction maps.
UCSC Genome Browser source tree. Stable branch: "beta".
Fully-staffed, open access nanofabrication lab provides services including Lithography, Etch (Dry/Wet), Deposition and Characterization.
Ultra high-throughput, spatial sequencing platform, for integrated multiomic analysis of FFPE samples at subcellular resolution. Spatial sequencing platform capable of simultaneous direct RNA.
Publicly-traded life science technology company, which specializes in advanced next-generation sequencing (NGS) and multiomic technologies.
Immunology database of B and T cell receptor gene variants, providing population frequency data, FASTA downloads and tools to study IG variation at individual and population levels.
Software application that automatically adapts to given dataset. It will analyze provided training cases and automatically configure matching U-Net-based segmentation pipeline.
Software R package to reduce and visualize Gene Ontology terms. Used for interpreting lists of Gene Ontology terms.
Standalone web server for visualization, exploration and management of molecular networks encoded in SBGN-compliant format.
Breeding-Insight/bi-web development.
Software R package contains functions developed within Breeding Insight to analyze diploid and polyploid breeding and genetic data. Provides set of functions for analyzing genomic and pedigree data in diploid and polyploid breeding programs. Used to streamline analysis of breeding and genetic data.