Merge pull request #16 from Sage-Bionetworks-Workflows/add_pr_template

Update pull request template

Author: andrewelamb

.github/PULL_REQUEST_TEMPLATE.md

@@ -0,0 +1,25 @@
+# **Problem:**
+
+- Describe the specific technical problem that this PR solves.
+- Include details such as:
+  - How you reproduced the problem
+  - What code is affected
+  - Any relevant background information
+
+# **Solution:**
+
+- Describe the specific technical solution that this PR provides.
+- Include details such as:
+  - How you debugged the problem
+  - Why you chose this solution
+  - Does the solution make any impact beyond the immediate problem
+  - Any necessary technical debt incurred
+  - Any important design decisions/links to design documentation (if applicable)
+
+# **Testing:**
+
+- Describe any testing that was performed to validate the solution.
+- Include details such as:
+  - How you tested the solution
+  - Any relevant test results (Do not include any test results that may contain sensitive information)
+  - Any automated tests that were added to the codebase

.github/pull_request_template.md

@@ -82,7 +82,7 @@ On release, automated continuous integration tests run the pipeline on a full-si
    > - If you are using `singularity`, please use the [`nf-core download`](https://nf-co.re/tools/#downloading-pipelines-for-offline-use) command to download images first, before running the pipeline. Setting the [`NXF_SINGULARITY_CACHEDIR` or `singularity.cacheDir`](https://www.nextflow.io/docs/latest/singularity.html?#singularity-docker-hub) Nextflow options enables you to store and re-use the images from a central location for future pipeline runs.
    > - If you are using `conda`, it is highly recommended to use the [`NXF_CONDA_CACHEDIR` or `conda.cacheDir`](https://www.nextflow.io/docs/latest/conda.html) settings to store the environments in a central location for future pipeline runs.
 
-4. Start running your own analysis!
+5. Start running your own analysis!
 
    <!-- TODO nf-core: Update the example "typical command" below used to run the pipeline -->