sptx-format | Image data format specification for spaceTx
kandi X-RAY | sptx-format Summary
kandi X-RAY | sptx-format Summary
sptx-format is a Python library. sptx-format has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
This document describes the spaceTx file format specification for image-based biological assays. The spaceTx format is designed to support the construction of a data tensor, which generalizes the approaches taken by sequential single-molecule FISH and assays that identify targets by building codes over multiple imaging rounds. Each of theses assays produce images that can form a data tensor. The data tensor contains a series of (x, y) planar image planes that represent specific z-planes, imaging channels (c), and imaging rounds (r). Together these form a 5-dimensional tensor (r, c, z, y, x) that serves as a general representation of an image-based transcriptomics or proteomics assay, and is the substrate of the starfish package. The goal of this repository is to define a self-describing data format that specifies how a set of 2-d images form a field of view, and specifies how multiple fields of view interact to form a larger experiment. The spaceTx format accomplishes this by combining these images, stored in 2-dimensional TIFF format, with a series of JSON files that describe how to organize each TIFF file into the 5-dimensional imaging tensor. Combined with imaging metadata and a pipeline recipe, both of which are defined elsewhere, these files enable a pipeline to generate the desired outputs of a spatial assay: a gene expression matrix augmented with spatial locations of transcripts and cells.
This document describes the spaceTx file format specification for image-based biological assays. The spaceTx format is designed to support the construction of a data tensor, which generalizes the approaches taken by sequential single-molecule FISH and assays that identify targets by building codes over multiple imaging rounds. Each of theses assays produce images that can form a data tensor. The data tensor contains a series of (x, y) planar image planes that represent specific z-planes, imaging channels (c), and imaging rounds (r). Together these form a 5-dimensional tensor (r, c, z, y, x) that serves as a general representation of an image-based transcriptomics or proteomics assay, and is the substrate of the starfish package. The goal of this repository is to define a self-describing data format that specifies how a set of 2-d images form a field of view, and specifies how multiple fields of view interact to form a larger experiment. The spaceTx format accomplishes this by combining these images, stored in 2-dimensional TIFF format, with a series of JSON files that describe how to organize each TIFF file into the 5-dimensional imaging tensor. Combined with imaging metadata and a pipeline recipe, both of which are defined elsewhere, these files enable a pipeline to generate the desired outputs of a spatial assay: a gene expression matrix augmented with spatial locations of transcripts and cells.
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sptx-format has a low active ecosystem.
It has 2 star(s) with 2 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 10 have been closed. On average issues are closed in 14 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of sptx-format is current.
Quality
sptx-format has no bugs reported.
Security
sptx-format has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
sptx-format is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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sptx-format releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed sptx-format and discovered the below as its top functions. This is intended to give you an instant insight into sptx-format implemented functionality, and help decide if they suit your requirements.
- Validate an experiment .
- Validate the given object .
- Recurse through validation errors .
- Create a Draft4Validator .
- Validates a file against the schema .
- Returns the absolute path to the schema .
Get all kandi verified functions for this library.
sptx-format Key Features
No Key Features are available at this moment for sptx-format.
sptx-format Examples and Code Snippets
No Code Snippets are available at this moment for sptx-format.
Community Discussions
No Community Discussions are available at this moment for sptx-format.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sptx-format
You can download it from GitHub.
You can use sptx-format like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use sptx-format like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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