refactor: Add example moves

Author: edmundmiller

docs/uppmax.md conf/uppmax/README.mddocs/uppmax.md renamed to conf/uppmax/README.md

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+// Profile config names for nf-core/configs
+params {
+    // Specific nf-core/configs params
+    config_profile_contact     = 'Daniel Lundin ([email protected])'
+    config_profile_description = 'nf-core/ampliseq UPPMAX profile provided by nf-core/configs'
+}
+
+process {
+    withName: classifier_extract_seq {
+        clusterOptions = { "-A ${params.project} -p core -n 1 -t 7-00:00:00 ${params.clusterOptions ?: ''}" }
+    }
+
+    withName: classifier_train {
+        clusterOptions = { "-A ${params.project} -C fat -p node -N 1 -t 24:00:00 ${params.clusterOptions ?: ''}" }
+    }
+
+    withName: classifier {
+        clusterOptions = { "-A ${params.project} -C fat -p node -N 1 ${params.clusterOptions ?: ''}" }
+    }
+}

conf/uppmax/pipeline/ampliseq.config

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+# nf-core/configs: uppmax ampliseq specific configuration
+
+Extra specific configuration for the ampliseq pipeline.
+
+## Usage
+
+To use, run the pipeline with `-profile uppmax`.
+
+This will download and launch the ampliseq specific [`uppmax.config`](../../../conf/pipeline/ampliseq/uppmax.config) which has been pre-configured with a setup suitable for the UPPMAX cluster.
+
+Example: `nextflow run nf-core/ampliseq -profile uppmax`
+
+## ampliseq specific configurations for uppmax
+
+Specific configurations for UPPMAX has been made for ampliseq.
+
+- Makes sure that a fat node is allocated for training and applying a Bayesian classifier.