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updating readme #35
updating readme #35
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Generally looks good to me. As much as I would prefer to use WUSTL everywhere, made a few suggestions based on the MarComm style guide.
[manual-workflows/README.md](manual-workflows/README.md) | ||
- Running the Immunogenomics workflow (immuno.wdl) manually and | ||
assuming the your input data is on a local machine that is not | ||
associated with WASHU in any way. For example, an external institution |
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The style guide says to use WashU
with only the W
and U
capitalized: https://marcomm.wustl.edu/items/washington-university-in-st-louis-washu/ Annoyingly it also says not to use WUSTL
any more.
associated with WASHU in any way. For example, an external institution | |
associated with WashU in any way. For example, an external institution |
abstractions, this is the approach. | ||
- Running the Immunogenomics workflow (immuno.wdl) manually and | ||
assuming that your input data is stored on the compute1/storage1 | ||
system at WASHU: [immuno-compute1](https://github.com/griffithlab/immuno_gcp_wdl_compute1) |
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system at WASHU: [immuno-compute1](https://github.com/griffithlab/immuno_gcp_wdl_compute1) | |
system at WashU: [immuno-compute1](https://github.com/griffithlab/immuno_gcp_wdl_compute1) |
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1. [manual submission to Cromwell](https://github.com/wustl-oncology/cloud-workflows/blob/main/manual-workflows/README.md), | ||
2. leveraging WUSTL's [GMS to automate interactions](https://github.com/wustl-oncology/cloud-workflows/tree/main/gms). |
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2. leveraging WUSTL's [GMS to automate interactions](https://github.com/wustl-oncology/cloud-workflows/tree/main/gms). | |
2. leveraging WashU's [GMS to automate interactions](https://github.com/wustl-oncology/cloud-workflows/tree/main/gms). |
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