Hello, I hope this finds you well.
I am trying to run the unprocessed HCP Wu-Minn 1200 dataset using the HCP PreProcessing Pipeline Docker App. To ensure my data was in BIDS format, I found the BIDs validator website and ensured my data was in BIDs format. I then tried to run my data, and received a BIDS-related error stating a BIDs root doesn't exist (when the path it's referring to definitely exists). Help would be really appreciated!!
(base) dk00549@bigdata-master01:/vol/research/nemo/HCP/Scripts$ cat c524.p0.error
Traceback (most recent call last):
File "/run.py", line 246, in
layout = BIDSLayout(args.bids_dir, derivatives=False, absolute_paths=True)
File "/usr/local/miniconda/lib/python3.7/site-packages/bids/layout/layout.py", line 230, in init
self._validate_root()
File "/usr/local/miniconda/lib/python3.7/site-packages/bids/layout/layout.py", line 460, in _validate_root
raise ValueError("BIDS root does not exist: %s" % self.root)
ValueError: BIDS root does not exist: /vol/research/nemo/HCP/UnprocessedHCPSubjects
Why are you rerunning the processing?
Matt.
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Okay that is certainly reasonable. Unfortunately I don’t know who maintains that Docker App and we don’t internally use BIDS. I know there is a planned release of an official HCP containerized version of the pipelines that I believe is also compatible with BIDS called Qu|Nex. Not sure how soon that will happen but perhaps Grega can comment. Personally, I’ve never gotten into BIDS as it seems to be a substitute for understanding how the images and their meta data relate to running processing pipelines and I already have that understanding.
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Hello,
I am not familiar with this BIDS app they are trying to use (https://github.com/BIDS-Apps/HCPPipelines). We can refer them to use QuNex, which is BIDS compatible, as Matt stated. They should be able to register to get the container next week. They are welcome to reach out to me directly next week for an update on the container’s availability.
Thanks,
Z
I would also note that we will be coordinating with Qu|Nex to ensure that this container is kept up to date with HCP Pipeline releases and contains enables all released HCP Pipelines. We have no relationship with this BIDS app, and so I don’t know if they are providing an up to date version of the HCP Pipelines (currently 4.3.0) or if they support all released HCP Pipelines.
Matt.
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I think containers definitely have their positives and negatives too. On the one hand, it helps a lot to get the environment set up quickly and also to standardize what was actually run on a given dataset. On the other, it can be harder to debug problems because one has introduced another layer between the inputs and the processing pipelines. Overall, we are aiming to support both approaches (inside and outside a container) to processing with the HCP Pipelines.
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Another point worth making is that the “simplification” that some wrappers attempt to provide, e.g., by hiding various parameters will certain assumed default values, is not necessarily a “good thing”, in that the assumed defaults may not be the correct ones for your data. Last time I looked at the BIDS App for the HCPPipelines it (1) only covered some of the available HCPpipelines, and (2) had quite a bit of hidden simplication. The QuNex container is better in this regard, but even there, you still need to be familiar with the HCPpipelines themselves, and whether you are calling with the correct arguments for your data.
Cheers,
-MH
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Michael Harms, Ph.D.
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Associate Professor of Psychiatry
Washington University School of Medicine
Department of Psychiatry, Box 8134
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From: Danielle Kurtin <danielle...@gmail.com>
Reply-To: "hcp-...@humanconnectome.org" <hcp-...@humanconnectome.org>
Date: Friday, February 19, 2021 at 10:54 AM
To: "hcp-...@humanconnectome.org" <hcp-...@humanconnectome.org>
Subject: Re: [hcp-users] Issue running HCP data through HCP Pipeline using BIDs' Docker App
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These are the pros and cons I try to weigh as well. I'd like to be adept at both methods, and I will continue to work on them even if I use the already preprocessed data to progress my project. The HCP has been an incredible resource largely because of the extensive, clear documentation and this forum. I deeply appreciate the support and the time and effort the HCP developers, maintainers, and community has spent creating and maintaining the database, documentation, code, and everything else!
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