Bayesian analysis of co-localization single-molecule microscopy image data.
Publication | Documentation & Tutorials | Discussions/Q&As
Publication
Tapqir and the cosmos model are described in Ordabayev et al., “Bayesian machine learning analysis of single-molecule fluorescence colocalization images” eLife 2022;11:e73860 doi: 10.7554/eLife.73860
Documentation & Tutorials
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Changelog
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1 maintainer
Metadata
1 maintainer
Release files for tapqir 1.1.19
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| tapqir-1.1.19.tar.gz | 83.5 kB | Without provenance | Details for tapqir-1.1.19.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tapqir-1.1.19-py3-none-any.whl | Python 3 | none | any | Details for tapqir-1.1.19-py3-none-any.whl |
Total release size: 163.0 kB
Release files / tapqir-1.1.19.tar.gz
| Download URL | tapqir-1.1.19.tar.gz |
|---|---|
| Size | 83.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.17
|
Release files / tapqir-1.1.19-py3-none-any.whl
| Download URL | tapqir-1.1.19-py3-none-any.whl |
|---|---|
| Size | 79.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.17
|
Security for tapqir 1.1.19
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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