| Name | dynamo2relion JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | |
| Summary | Converts Dynamo table files to RELION star files |
| upload_time | 2022-12-14 13:13:40 |
| maintainer | |
| docs_url | None |
| author | Euan Pyle |
| requires_python | >=3.6 |
| license | BSD 3-Clause License |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Dynamo2Relion
## A Tiny Function to Convert Dynamo Tables to Star Files for RELION 4.0
[](https://pypi.python.org/pypi/dynamo2m/)
Based on [dynamo2m](https://github.com/alisterburt/dynamo2m) by Alister Burt.
## Installation
Installation is carried out via:
```sh
pip install dynamo2relion
```
## Requirements
Your directory containing the tilt series directories must be structured as follows:
```sh
tilt_series_directory #Directory containing all TS directories, link to this directory
|
--> TS_01 #Directory containing TS_01
|
--> TS_01.mrc #TS_01 image stack. The file extension does not matter.
|
--> TS_02
|
-->TS_02.mrc #
|
--> etc...
```
The program will ask you the path to tilt_series_directory. No directories other than the TS_* directories should be present in tilt_series_directory. Naming convention for the TS_* directories can be any mix of upper of lower case TS and any numbering convention desired.
## Usage
Instructions for use can be found via typing:
```sh
dynamo2relion --help
```
For binning level, simply enter 1 if the coordinates of your particles in the Dynamo table were picked from an unbinned tomogram. If the tomograms the particles were picked in were binned, add the correct binning level: binning is done using IMOD convention, i.e. for a pixel size of 1 A/px, a binning level of 8 would yield 8 A/px.
Raw data
{
"_id": null,
"home_page": "",
"name": "dynamo2relion",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": "",
"keywords": "",
"author": "Euan Pyle",
"author_email": "euanpyle@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/41/4b/cba7940071d20c66c396801a216ed06e00281ee367dc1d27ae1317aa488c/dynamo2relion-1.0.0.tar.gz",
"platform": null,
"description": "# Dynamo2Relion\n## A Tiny Function to Convert Dynamo Tables to Star Files for RELION 4.0\n\n[](https://pypi.python.org/pypi/dynamo2m/)\n\nBased on [dynamo2m](https://github.com/alisterburt/dynamo2m) by Alister Burt.\n\n## Installation\n\nInstallation is carried out via:\n```sh\npip install dynamo2relion\n```\n\n## Requirements\n\nYour directory containing the tilt series directories must be structured as follows:\n\n```sh\ntilt_series_directory #Directory containing all TS directories, link to this directory\n|\n--> TS_01 #Directory containing TS_01 \n |\n --> TS_01.mrc #TS_01 image stack. The file extension does not matter. \n|\n--> TS_02 \n |\n -->TS_02.mrc #\n|\n--> etc...\n```\n\nThe program will ask you the path to tilt_series_directory. No directories other than the TS_* directories should be present in tilt_series_directory. Naming convention for the TS_* directories can be any mix of upper of lower case TS and any numbering convention desired. \n\n## Usage\n\nInstructions for use can be found via typing:\n```sh\ndynamo2relion --help\n```\n\nFor binning level, simply enter 1 if the coordinates of your particles in the Dynamo table were picked from an unbinned tomogram. If the tomograms the particles were picked in were binned, add the correct binning level: binning is done using IMOD convention, i.e. for a pixel size of 1 A/px, a binning level of 8 would yield 8 A/px. \n",
"bugtrack_url": null,
"license": "BSD 3-Clause License",
"summary": "Converts Dynamo table files to RELION star files",
"version": "1.0.0",
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"md5": "7efc120b6acb2d37fccd28a12fba05e7",
"sha256": "d0892bcea43e701e1c378ba07bc7c164c4cbed5976ea72b0c89d6b45af749426"
},
"downloads": -1,
"filename": "dynamo2relion-1.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "7efc120b6acb2d37fccd28a12fba05e7",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 5982,
"upload_time": "2022-12-14T13:13:38",
"upload_time_iso_8601": "2022-12-14T13:13:38.197146Z",
"url": "https://files.pythonhosted.org/packages/87/2d/045c32584ac9177241a436bcea25ba37d82f8e11f8ec730852452827a769/dynamo2relion-1.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"md5": "9efa5742254ec42c0c9cace375a7633e",
"sha256": "99e0d41767b5ef6ad36c794c8cbbe11648ef3b86beeec4ed92f9b6fe469372b7"
},
"downloads": -1,
"filename": "dynamo2relion-1.0.0.tar.gz",
"has_sig": false,
"md5_digest": "9efa5742254ec42c0c9cace375a7633e",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.6",
"size": 5302,
"upload_time": "2022-12-14T13:13:40",
"upload_time_iso_8601": "2022-12-14T13:13:40.269418Z",
"url": "https://files.pythonhosted.org/packages/41/4b/cba7940071d20c66c396801a216ed06e00281ee367dc1d27ae1317aa488c/dynamo2relion-1.0.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2022-12-14 13:13:40",
"github": false,
"gitlab": false,
"bitbucket": false,
"lcname": "dynamo2relion"
}