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Deployed on AWS
The OpenCell project is a proteome-scale effort to measure the localization and interactions of human proteins
using high-throughput genome engineering to endogenously tag thousands of proteins in the human proteome.
This dataset consists of the raw confocal fluorescence microscopy images for all tagged cell lines in the OpenCell library.
These images can be interpreted both individually, to determine the localization of particular proteins of interest,
and in aggregate, by training machine learning models to classify or quantify subcellular localization patterns.
Overview
The OpenCell project is a proteome-scale effort to measure the localization and interactions of human proteins using high-throughput genome engineering to endogenously tag thousands of proteins in the human proteome. This dataset consists of the raw confocal fluorescence microscopy images for all tagged cell lines in the OpenCell library. These images can be interpreted both individually, to determine the localization of particular proteins of interest, and in aggregate, by training machine learning models to classify or quantify subcellular localization patterns.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
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AWS Data Exchange (ADX)
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Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Live-cell confocal fluorescence microscopy images of the OpenCell library of fluorescently tagged cell lines
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::czb-opencell
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://czb-opencell/
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How to cite
OpenCell on AWS was accessed on DATE from https://registry.opendata.aws/czb-opencell .
License
CC BY-SA 4.0
Similar products
This bucket contains multiple datasets (as Quilt packages) created by the Allen Institute for Cell Science. The types of data included in this bucket are listed below:
1) Field of view or cropped images of cells
2) Segmentations of structures in the images (e.g., boundaries of cells, DNA, other intracellular structures, etc.)
3) Processed versions of the above images and segmentations
4) Machine learning predictions and labels of the data listed above
5) Models trained on the previously listed data
6) Additional supporting non-image data related to the above listed data types (e.g., gene expression data, whole genome sequencing data, features derived from the images or model predictions, metadata)
7) Simulation, analysis, and visualization data of in silico cell structures, cells, and cell populations
External funding:
The generation of some datasets was supported by the National Human Genome Research Institute of the National Institutes under Award Number UM1HG011593. The cont[...]
This listing contains OpenCellID.org data: the world's largest Open Database of Cell Towers. With OpenCellID.org data, you can analyze carrier coverage, locate devices without GPS, and much more.
The data can be used and distributed free of charge. Provided on AWS Data Exchange by Database Consulting.