Galaxy: tabular patterns
This is the runtime-facing map for Galaxy tabular transformation choices. Use it before loading raw survey notes. The survey remains evidence backing; the operation pages are the actionable references.
Row And Column Operations
- tabular-filter-by-column-value — keep/drop rows by string column value with
Filter1. - tabular-filter-by-regex — keep/drop rows by regex or pattern matching.
- tabular-cut-and-reorder-columns — project and reorder columns with
Cut1. - tabular-compute-new-column — compute row-wise values into a new column.
Joins And Aggregation
- tabular-join-on-key — join two tabular datasets by key columns.
- tabular-group-and-aggregate-with-datamash — group and aggregate rows with
datamash_ops. - tabular-sql-query — use SQL when filtering, joining, and projection are clearer as one query.
Text-Processing Recipes
- tabular-prepend-header — add a header row with an awk/text-processing step.
- tabular-synthesize-bed-from-3col — build BED from three-column tabular inputs.
- tabular-split-taxonomy-string — split taxonomy-like strings into useful columns.
- tabular-relabel-by-row-counter — synthesize row labels from row order.
Bridges
- tabular-to-collection-by-row — split a tabular manifest/list into collection elements for map-over.
- tabular-concatenate-collection-to-table — row-bind a collection of tabular outputs into one table.
- tabular-pivot-collection-to-wide — outer-join a collection of id/value tabulars into one wide table.
See also
- iwc-tabular-operations-survey — tabular-operation survey and evidence trail.
- galaxy-collection-patterns — companion MOC for collection operations.