Curator Dashboard

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.

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• 1 year ago - submitted by Yang Bai

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.

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• 1 year ago - by Anonymous

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.

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• 1 year ago - submitted by Edyta Vieth

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.

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• 1 year ago - by Anonymous

Interactive database of protein protein interactions modeled by AlphaFold multimer. Classifier-curated database of AlphaFold-modeled protein-protein interactions.

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• 1 year ago - by Anonymous

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.

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• 1 year ago - by Anonymous

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.

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• 1 year ago - by Anonymous

Software Python library for parallel and distributed computing. Enables parallel and out-of-core computation.

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• 1 year ago - by Anonymous

Web-based visual exploration and analysis of genome interaction maps.

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• 1 year ago - by Anonymous

UCSC Genome Browser source tree. Stable branch: "beta".

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• 1 year ago - by Anonymous

Fully-staffed, open access nanofabrication lab provides services including Lithography, Etch (Dry/Wet), Deposition and Characterization.

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• 1 year ago - by Anonymous

Ultra high-throughput, spatial sequencing platform, for integrated multiomic analysis of FFPE samples at subcellular resolution. Spatial sequencing platform capable of simultaneous direct RNA.

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• 1 year ago - by Anonymous

Publicly-traded life science technology company, which specializes in advanced next-generation sequencing (NGS) and multiomic technologies.

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• 1 year ago - by Anonymous

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.

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• 1 year ago - submitted by Natashia Benzian Olsson

Software application that automatically adapts to given dataset. It will analyze provided training cases and automatically configure matching U-Net-based segmentation pipeline.

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• 1 year ago - by Anonymous

Software R package to reduce and visualize Gene Ontology terms. Used for interpreting lists of Gene Ontology terms.

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• 1 year ago - submitted by Letizia Amadori

Standalone web server for visualization, exploration and management of molecular networks encoded in SBGN-compliant format.

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• 1 year ago - submitted by Marek Ostaszewski

Breeding-Insight/bi-web development.

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• 1 year ago - submitted by Moira Sheehan

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.

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• 1 year ago - submitted by Moira Sheehan

Species-agnostic web-based application for processing genotypic data in no-code RShiny user-friendly interface. Allows users without coding experience to process genetic data in all genome ploidy ranges and for multiallelic data, starting from number of input formats (including VCF). Also allows to perform downstream QC analyses (e.g., PCA) and run genomic analysis (e.g., Linkage mapping, QTL analysis, genome-wide association studies (GWAS), and genomic selection (GS).

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• 1 year ago - submitted by Moira Sheehan