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connectomemapper-3.1.0


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توضیحات

Connectome Mapper 3: A Flexible and Open-Source Pipeline Software for Multiscale Multimodal Human Connectome Mapping
ویژگی مقدار
سیستم عامل -
نام فایل connectomemapper-3.1.0
نام connectomemapper
نسخه کتابخانه 3.1.0
نگهدارنده ['Connectomics Lab, CHUV']
ایمیل نگهدارنده ['sebastien.tourbier@alumni.epfl.ch']
نویسنده Sebastien Tourbier
ایمیل نویسنده sebastien.tourbier@alumni.epfl.ch
آدرس صفحه اصلی https://github.com/connectomicslab/connectomemapper3
آدرس اینترنتی https://pypi.org/project/connectomemapper/
مجوز BSD-3-Clause
## Connectome Mapper 3 This neuroimaging processing pipeline software is developed by the Connectomics Lab at the University Hospital of Lausanne (CHUV) for use within the [SNF Sinergia Project 170873](http://p3.snf.ch/project-170873), as well as for open-source software distribution. ![GitHub release (latest by date)](https://img.shields.io/github/v/release/connectomicslab/connectomemapper3) ![GitHub Release Date](https://img.shields.io/github/release-date/connectomicslab/connectomemapper3?color=orange) [![Zenodo DOI](https://zenodo.org/badge/183162514.svg)](https://zenodo.org/badge/latestdoi/183162514) [![JOSS paper DOI](https://joss.theoj.org/papers/10.21105/joss.04248/status.svg)](https://doi.org/10.21105/joss.04248) [![PyPI](https://img.shields.io/pypi/v/connectomemapper?color=orange)](https://pypi.org/project/connectomemapper/) ![Docker Image Version (latest semver)](https://img.shields.io/docker/v/sebastientourbier/connectomemapper-bidsapp?color=blue&label=docker%20version) [![Docker Pulls](https://img.shields.io/docker/pulls/sebastientourbier/connectomemapper-bidsapp?color=orange)](https://hub.docker.com/r/sebastientourbier/connectomemapper-bidsapp) [![CircleCI](https://circleci.com/gh/connectomicslab/connectomemapper3.svg?style=shield)](https://circleci.com/gh/connectomicslab/connectomemapper3) [![Code Coverage](https://app.codacy.com/project/badge/Coverage/658266303c3046e8896769670e6988eb)](https://www.codacy.com/gh/connectomicslab/connectomemapper3?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=connectomicslab/connectomemapper3&amp;utm_campaign=Badge_Coverage) [![Documentation Status](https://readthedocs.org/projects/connectome-mapper-3/badge/?version=latest)](https://connectome-mapper-3.readthedocs.io/en/latest/?badge=latest) [![Code Quality Review](https://app.codacy.com/project/badge/Grade/658266303c3046e8896769670e6988eb)](https://www.codacy.com/gh/connectomicslab/connectomemapper3?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=connectomicslab/connectomemapper3&amp;utm_campaign=Badge_Grade) [![All Contributors](https://img.shields.io/badge/all_contributors-12-orange.svg?style=flat-square)](#contributors-) ### Description Connectome Mapper 3 is an open-source Python3 image processing pipeline software, with a Graphical User Interface, that implements full anatomical, diffusion, resting-state MRI, and EEG processing pipelines, from raw Diffusion / T1 / BOLD / preprocessed EEG to multi-resolution connection matrices, based on a new version of the Lausanne parcellation atlas, aka `Lausanne2018`. ![Image not found](https://github.com/connectomicslab/connectomemapper3/raw/master/docs/images/flowchart_bidsapp.png) Connectome Mapper 3 pipelines use a combination of tools from well-known software packages, including [FSL](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki), [FreeSurfer](https://surfer.nmr.mgh.harvard.edu/fswiki/FreeSurferWiki), [ANTs](http://stnava.github.io/ANTs/), [MRtrix3](http://www.mrtrix.org/), [Dipy](https://nipy.org/dipy/), [AFNI](https://afni.nimh.nih.gov/), [MNE](https://mne.tools/), [MNE_Connectivity](https://mne.tools/mne-connectivity), and [Cartool (PyCartool)](https://github.com/Functional-Brain-Mapping-Laboratory/PyCartool) orchestrated by the [Nipype](https://nipype.readthedocs.io/en/latest/) dataflow library. These pipelines were designed to provide the best software implementation for each state of processing at the time conceptualization, and can be updated as newer and better neuroimaging software become available. To enhance reproducibility and replicatibility, the processing pipelines with all dependencies are encapsulated in a Docker image container, which handles datasets organized following the BIDS standard and is distributed as a `BIDS App` @ [Docker Hub](https://hub.docker.com/r/sebastientourbier/connectomemapper-bidsapp). For execution on high-performance computing cluster, a Singularity image is also made freely available @ [Sylabs Cloud](https://cloud.sylabs.io/library/_container/5fe4e971bccfe9cf45792495). To reduce the risk of misconfiguration and improve accessibility, Connectome Mapper 3 comes with an interactive GUI, aka `cmpbidsappmanager`, which supports the user in all the steps involved in the configuration of the pipelines, the configuration and execution of the BIDS App, and the control of the output quality. In addition, to facilitate the use by users not familiar with Docker and Singularity containers, Connectome Mapper 3 provides two Python commandline wrappers (`connectomemapper3_docker` and `connectomemapper3_singularity`) that will generate and run the appropriate command. Since ``v3.1.0``, CMP3 provides full support to EEG. Please check [this notebook](docs/notebooks/EEG_pipeline_tutorial.ipynb) for a demonstration of the newly implemented pipeline, using the “VEPCON” dataset, available at https://openneuro.org/datasets/ds003505/versions/1.1.1. ### How to install the python wrappers and the GUI? You need to have first either Docker or Singularity engine and miniconda installed. We refer to the [dedicated documentation page](https://connectome-mapper-3.readthedocs.io/en/latest/installation.html) for more instruction details. Then, download the appropriate [environment.yml](https://github.com/connectomicslab/connectomemapper3/raw/master/conda/environment.yml) / [environment_macosx.yml](https://github.com/connectomicslab/connectomemapper3/raw/master/conda/environment_macosx.yml) and create a conda environment `py39cmp-gui` with the following command: ```bash $ conda env create -f /path/to/environment[_macosx].yml ``` Once the environment is created, activate it and install Connectome Mapper 3 with `PyPI` as follows: ```bash $ conda activate py39cmp-gui (py39cmp-gui)$ pip install connectomemapper ``` You are ready to use Connectome Mapper 3! ### Resources * **JOSS paper:** [https://joss.theoj.org/papers/10.21105/joss.04248](https://joss.theoj.org/papers/10.21105/joss.04248) * **Documentation:** [https://connectome-mapper-3.readthedocs.io](https://connectome-mapper-3.readthedocs.io) * **Mailing list:** [https://groups.google.com/forum/#!forum/cmtk-users](https://groups.google.com/forum/#!forum/cmtk-users) * **Source:** [https://github.com/connectomicslab/connectomemapper3](https://github.com/connectomicslab/connectomemapper3) * **Bug reports:** [https://github.com/connectomicslab/connectomemapper3/issues](https://github.com/connectomicslab/connectomemapper3/issues) ### Carbon footprint estimation of BIDS App run 🌍🌳✨ In support to the Organisation for Human Brain Mapping (OHBM) Sustainability and Environmental Action (OHBM-SEA) group, CMP3 enables you since `v3.0.3` to be more aware about the adverse impact of your processing on the environment! With the new `--track_carbon_footprint` option of the `connectomemapper3_docker` and `connectomemapper3_singularity` BIDS App python wrappers, and the new `"Track carbon footprint"` option of the `cmpbidsappmanager` BIDS Interface Window, you can estimate the carbon footprint incurred by the execution of the BIDS App. Estimations are conducted using [codecarbon](https://codecarbon.io) to estimate the amount of carbon dioxide (CO2) produced to execute the code by the computing resources and save the results in ``<bids_dir>/code/emissions.csv``. Then, to visualize, interpret and track the evolution of the emitted CO2 emissions, you can use the visualization tool of `codecarbon` aka `carbonboard` that takes as input the `.csv` created:: ```bash $ carbonboard --filepath="<bids_dir>/code/emissions.csv" --port=xxxx ``` Please check [https://ohbm-environment.org](https://ohbm-environment.org) to learn more about OHBM-SEA! ### Usage Having the `py39cmp-gui` conda environment previously installed activated, the BIDS App can easily be run using `connectomemapper3_docker`, the python wrapper for Docker, as follows: ```output usage: connectomemapper3_docker [-h] [--participant_label PARTICIPANT_LABEL [PARTICIPANT_LABEL ...]] [--session_label SESSION_LABEL [SESSION_LABEL ...]] [--anat_pipeline_config ANAT_PIPELINE_CONFIG] [--dwi_pipeline_config DWI_PIPELINE_CONFIG] [--func_pipeline_config FUNC_PIPELINE_CONFIG] [--eeg_pipeline_config EEG_PIPELINE_CONFIG] [--number_of_threads NUMBER_OF_THREADS] [--number_of_participants_processed_in_parallel NUMBER_OF_PARTICIPANTS_PROCESSED_IN_PARALLEL] [--mrtrix_random_seed MRTRIX_RANDOM_SEED] [--ants_random_seed ANTS_RANDOM_SEED] [--ants_number_of_threads ANTS_NUMBER_OF_THREADS] [--fs_license FS_LICENSE] [--coverage] [--notrack] [-v] [--track_carbon_footprint] [--docker_image DOCKER_IMAGE] [--config_dir CONFIG_DIR] bids_dir output_dir {participant,group} Entrypoint script of the Connectome Mapper BIDS-App version v3.1.0 via Docker. positional arguments: bids_dir The directory with the input dataset formatted according to the BIDS standard. output_dir The directory where the output files should be stored. If you are running group level analysis this folder should be prepopulated with the results of the participant level analysis. {participant,group} Level of the analysis that will be performed. Multiple participant level analyses can be run independently (in parallel) using the same output_dir. optional arguments: -h, --help show this help message and exit --participant_label PARTICIPANT_LABEL [PARTICIPANT_LABEL ...] The label(s) of the participant(s) that should be analyzed. The label corresponds to sub-<participant_label> from the BIDS spec (so it does not include "sub-"). If this parameter is not provided all subjects should be analyzed. Multiple participants can be specified with a space separated list. --session_label SESSION_LABEL [SESSION_LABEL ...] The label(s) of the session that should be analyzed. The label corresponds to ses-<session_label> from the BIDS spec (so it does not include "ses-"). If this parameter is not provided all sessions should be analyzed. Multiple sessions can be specified with a space separated list. --anat_pipeline_config ANAT_PIPELINE_CONFIG Configuration .json file for processing stages of the anatomical MRI processing pipeline --dwi_pipeline_config DWI_PIPELINE_CONFIG Configuration .json file for processing stages of the diffusion MRI processing pipeline --func_pipeline_config FUNC_PIPELINE_CONFIG Configuration .json file for processing stages of the fMRI processing pipeline --eeg_pipeline_config EEG_PIPELINE_CONFIG Configuration .json file for processing stages of the EEG processing pipeline --number_of_threads NUMBER_OF_THREADS The number of OpenMP threads used for multi-threading by Freesurfer (Set to [Number of available CPUs -1] by default). --number_of_participants_processed_in_parallel NUMBER_OF_PARTICIPANTS_PROCESSED_IN_PARALLEL The number of subjects to be processed in parallel (One by default). --mrtrix_random_seed MRTRIX_RANDOM_SEED Fix MRtrix3 random number generator seed to the specified value --ants_random_seed ANTS_RANDOM_SEED Fix ANTS random number generator seed to the specified value --ants_number_of_threads ANTS_NUMBER_OF_THREADS Fix number of threads in ANTs. If not specified ANTs will use the same number as the number of OpenMP threads (see `----number_of_threads` option flag) --fs_license FS_LICENSE Freesurfer license.txt --coverage Run connectomemapper3 with coverage --notrack Do not send event to Google analytics to report BIDS App execution, which is enabled by default. -v, --version show program's version number and exit --track_carbon_footprint Track carbon footprint with `codecarbon <https://codecarbon.io/>`_ and save results in a CSV file called ``emissions.csv`` in the ``<bids_dir>/code`` directory. --docker_image DOCKER_IMAGE The path to the docker image. --config_dir CONFIG_DIR The path to the directory containing the configuration files. ``` ## Contributors ✨ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)): <!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section --> <!-- prettier-ignore-start --> <!-- markdownlint-disable --> <table> <tr> <td align="center"><a href="https://github.com/sebastientourbier"><img src="https://avatars.githubusercontent.com/u/22279770?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Sébastien Tourbier</b></sub></a><br /><a href="https://github.com/connectomicslab/connectomemapper3/commits?author=sebastientourbier" title="Code">💻</a> <a href="#design-sebastientourbier" title="Design">🎨</a> <a href="#infra-sebastientourbier" title="Infrastructure (Hosting, Build-Tools, etc)">🚇</a> <a href="https://github.com/connectomicslab/connectomemapper3/commits?author=sebastientourbier" title="Tests">⚠️</a> <a href="#example-sebastientourbier" title="Examples">💡</a> <a href="#ideas-sebastientourbier" title="Ideas, Planning, & Feedback">🤔</a> <a href="#mentoring-sebastientourbier" title="Mentoring">🧑‍🏫</a> <a href="#projectManagement-sebastientourbier" title="Project Management">📆</a> <a href="https://github.com/connectomicslab/connectomemapper3/pulls?q=is%3Apr+reviewed-by%3Asebastientourbier" title="Reviewed Pull Requests">👀</a> <a href="#tutorial-sebastientourbier" title="Tutorials">✅</a> <a href="#talk-sebastientourbier" title="Talks">📢</a></td> <td align="center"><a href="https://github.com/joanrue"><img src="https://avatars.githubusercontent.com/u/13551804?v=4?s=100" width="100px;" alt=""/><br /><sub><b>joanrue</b></sub></a><br /><a href="https://github.com/connectomicslab/connectomemapper3/issues?q=author%3Ajoanrue" title="Bug reports">🐛</a> <a href="https://github.com/connectomicslab/connectomemapper3/commits?author=joanrue" title="Code">💻</a> <a href="https://github.com/connectomicslab/connectomemapper3/commits?author=joanrue" title="Tests">⚠️</a> <a href="#ideas-joanrue" title="Ideas, Planning, & Feedback">🤔</a></td> <td align="center"><a href="https://github.com/Katharinski"><img src="https://avatars.githubusercontent.com/u/20595787?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Katharina Glomb</b></sub></a><br /><a href="https://github.com/connectomicslab/connectomemapper3/issues?q=author%3AKatharinski" title="Bug reports">🐛</a> <a href="https://github.com/connectomicslab/connectomemapper3/commits?author=Katharinski" title="Code">💻</a> <a href="https://github.com/connectomicslab/connectomemapper3/commits?author=Katharinski" title="Tests">⚠️</a> <a href="#ideas-Katharinski" title="Ideas, Planning, & Feedback">🤔</a></td> <td align="center"><a href="https://www.linkedin.com/in/aniltuncel/"><img src="https://avatars.githubusercontent.com/u/7026020?v=4?s=100" width="100px;" alt=""/><br /><sub><b>anilbey</b></sub></a><br /><a href="https://github.com/connectomicslab/connectomemapper3/commits?author=anilbey" title="Code">💻</a> <a href="https://github.com/connectomicslab/connectomemapper3/commits?author=anilbey" title="Tests">⚠️</a> <a href="#ideas-anilbey" title="Ideas, Planning, & Feedback">🤔</a> <a href="https://github.com/connectomicslab/connectomemapper3/commits?author=anilbey" title="Documentation">📖</a></td> <td align="center"><a href="https://github.com/jwirsich"><img src="https://avatars.githubusercontent.com/u/7943145?v=4?s=100" width="100px;" alt=""/><br /><sub><b>jwirsich</b></sub></a><br /><a href="https://github.com/connectomicslab/connectomemapper3/issues?q=author%3Ajwirsich" title="Bug reports">🐛</a> <a href="https://github.com/connectomicslab/connectomemapper3/commits?author=jwirsich" title="Code">💻</a> <a href="#ideas-jwirsich" title="Ideas, Planning, & Feedback">🤔</a></td> <td align="center"><a href="https://github.com/kuba-fidel"><img src="https://avatars.githubusercontent.com/u/92929875?v=4?s=100" width="100px;" alt=""/><br /><sub><b>kuba-fidel</b></sub></a><br /><a href="https://github.com/connectomicslab/connectomemapper3/commits?author=kuba-fidel" title="Code">💻</a> <a href="https://github.com/connectomicslab/connectomemapper3/commits?author=kuba-fidel" title="Documentation">📖</a> <a href="#ideas-kuba-fidel" title="Ideas, Planning, & Feedback">🤔</a></td> <td align="center"><a href="https://github.com/stefanches7"><img src="https://avatars.githubusercontent.com/u/17748742?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Stefan</b></sub></a><br /><a href="https://github.com/connectomicslab/connectomemapper3/commits?author=stefanches7" title="Code">💻</a> <a href="#tutorial-stefanches7" title="Tutorials">✅</a> <a href="#ideas-stefanches7" title="Ideas, Planning, & Feedback">🤔</a></td> </tr> <tr> <td align="center"><a href="https://github.com/mschoettner"><img src="https://avatars.githubusercontent.com/u/48212821?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Mikkel Schöttner</b></sub></a><br /><a href="#tutorial-mschoettner" title="Tutorials">✅</a> <a href="https://github.com/connectomicslab/connectomemapper3/commits?author=mschoettner" title="Code">💻</a> <a href="#ideas-mschoettner" title="Ideas, Planning, & Feedback">🤔</a></td> <td align="center"><a href="https://github.com/yasseraleman"><img src="https://avatars.githubusercontent.com/u/7859430?v=4?s=100" width="100px;" alt=""/><br /><sub><b>yasseraleman</b></sub></a><br /><a href="https://github.com/connectomicslab/connectomemapper3/commits?author=yasseraleman" title="Code">💻</a> <a href="#ideas-yasseraleman" title="Ideas, Planning, & Feedback">🤔</a></td> <td align="center"><a href="https://github.com/agriffa"><img src="https://avatars.githubusercontent.com/u/557451?v=4?s=100" width="100px;" alt=""/><br /><sub><b>agriffa</b></sub></a><br /><a href="https://github.com/connectomicslab/connectomemapper3/commits?author=agriffa" title="Code">💻</a> <a href="#ideas-agriffa" title="Ideas, Planning, & Feedback">🤔</a></td> <td align="center"><a href="https://github.com/emullier"><img src="https://avatars.githubusercontent.com/u/43587002?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Emeline Mullier</b></sub></a><br /><a href="https://github.com/connectomicslab/connectomemapper3/commits?author=emullier" title="Code">💻</a></td> <td align="center"><a href="https://wp.unil.ch/connectomics"><img src="https://avatars.githubusercontent.com/u/411192?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Patric Hagmann</b></sub></a><br /><a href="#ideas-pahagman" title="Ideas, Planning, & Feedback">🤔</a> <a href="#fundingFinding-pahagman" title="Funding Finding">🔍</a></td> </tr> </table> <!-- markdownlint-restore --> <!-- prettier-ignore-end --> <!-- ALL-CONTRIBUTORS-LIST:END --> Thanks also goes to all these wonderful people that contributed to Connectome Mapper 1 and 2: * Collaborators from Signal Processing Laboratory (LTS5), EPFL, Lausanne: * Jean-Philippe Thiran * Leila Cammoun * Adrien Birbaumer (abirba) * Alessandro Daducci (daducci) * Stephan Gerhard (unidesigner) * Christophe Chênes (Cwis) * Oscar Esteban (oesteban) * David Romascano (davidrs06) * Alia Lemkaddem (allem) * Xavier Gigandet * Collaborators from Children's Hospital, Boston: * Ellen Grant * Daniel Ginsburg (danginsburg) * Rudolph Pienaar (rudolphpienaar) * Nicolas Rannou (NicolasRannou) This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome! ### How to cite? Please consult our [Citing](https://connectome-mapper-3.readthedocs.io/en/latest/citing.html#) documentation page. ### How to contribute? Please consult our [Contributing to Connectome Mapper 3](https://connectome-mapper-3.readthedocs.io/en/latest/contributing.html#) guidelines. ### Funding Work supported by the [Sinergia SNFNS-170873 Grant](http://p3.snf.ch/Project-170873). ### License This software is distributed under the open-source 3-Clause BSD License. See [license](docs/LICENSE) for more details. All trademarks referenced herein are property of their respective holders. Copyright (C) 2009-2022, Hospital Center and University of Lausanne (UNIL-CHUV), Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland & Contributors.


نیازمندی

مقدار نام
==1.2.0 codecarbon
==0.13.1 dash-bootstrap-components


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl connectomemapper-3.1.0:

    pip install connectomemapper-3.1.0.whl


نصب پکیج tar.gz connectomemapper-3.1.0:

    pip install connectomemapper-3.1.0.tar.gz