Bycon

* adding `normalize_pgx_variant`

* now probe plotting as implemented with auto-path detection based on callset
values
- `analysis_info: { experiment_id: 'geo:GSM498847', series_id: 'geo:GSE19949' }` leads to `{server_callsets_dir_loc}/GSE19949/GSM498847/{probefile_name}`
- example: [progenetix.org/beacon/biosamples/pgxbs-kftvkafc/?output=samplesplot&plot_chros=3,5,6,14](https://progenetix.org/beacon/biosamples/pgxbs-kftvkafc/?datasetIds=progenetix&output=samplesplot&plot_chros=3,5,6,14)

* modified `handover_definitions` to follow the specification:
- `handoverType` now as in spec, also using public identifier where possible
(so far `"id": "EDAM:3016", "label": "VCF"` for all VCF h->0)
- since now different handovers can have the same `handoverType.id` this required
the addition of an `info.contentId` value for the frontend to disambiguate
* starting the work on the `arrayplot` (?) plot type, including a new method
for getting probe file paths (not yet activated)
* several field changes in biosamples, to align w/ main Beacon v2 default schema:
- `sampledTissue` => `sampleOriginDetail`
- `description` => `notes`
- `timeOfCollection.age` => `collectionMoment`

2023-06-06 (byconaut)

* moved MongoDB index generation to `housekeeping.py`
* started to organize actions in `housekeeping.py` w/ user prompts

* fixed pgxseg file reader (broken reference_name ... parsing after recent chromosome fix)
* removed some publication libraries/schemas only used in byconaut

* fixed missing chromosomes in `.pgxseg` exports
* age search now with 2 values possible (e.g. to set a range)

* added `days_from_iso8601duration` method
* added in individuals `index_disease.onset.age_days` field
- populated using the new method w/ a byconaut "housekeeping" script
* added a first `alphanumeric` filter type & parsing
* this enables now an age filter query, e.g. `filters=age:<=P35Y2D`