This vignette provides a more detailed introduction to the concepts and features of {laminr}. We’ll start with a brief overview of key concepts and then walk through the basic steps to connect to a LaminDB instance and work with its core components.
Key Concepts in LaminDB
Before diving into the practical usage of {laminr},
it’s helpful to understand some core concepts in LaminDB. For a more
detailed explanation, refer to the Architecture vignette
(vignette("architecture", package = "laminr")
).
- Instance: A LaminDB instance is a self-contained environment for storing and managing data and metadata. Think of it like a database or a project directory. Each instance has its own schema, storage location, and metadata database.
- Module: A module is a collection of related registries that provide specific functionality. For example, the core module contains essential registries for general data management, while the bionty module provides registries for biological entities like genes and proteins.
- Registry: A registry is a centralized collection of related records, similar to a table in a database. Each registry holds a specific type of metadata, such as information about artifacts, transforms, or features.
- Record: A record is a single entry within a registry, analogous to a row in a database table. Each record represents a specific entity and combines multiple fields of information.
- Field: A field is a single piece of information within a record, like a column in a database table. For example, an artifact record might have fields for its name, description, and creation date.
Initial setup
Now, let’s set up your environment to use {laminr}.
R setup
- Install the {laminr} package.
install.packages("laminr")
- (Optional) Install suggested dependencies.
install.packages("laminr", dependencies = TRUE)
This includes packages like {anndata} for working with AnnData objects and {s3} for interacting with S3 storage.
Connecting to LaminDB from R
Connect to the laminlabs/cellxgene
instance from your R
session:
library(laminr)
db <- connect("laminlabs/cellxgene")
#> ! schema module 'wetlab' is not installed → no access to its labels & registries (resolve via `pip install wetlab`)
#> ! schema module 'bionty' is not installed → no access to its labels & registries (resolve via `pip install bionty`)
#> → connected lamindb: laminlabs/lamindata
The db
object now represents your connection to the
LaminDB instance. You can explore the available registries (like
Artifact
, Collection
, Feature
,
etc.) by simply printing the db
object:
db
#> cellxgene
#> Core registries
#> $Run
#> $User
#> $Param
#> $Space
#> $Person
#> $Schema
#> $ULabel
#> $Feature
#> $Project
#> $RunData
#> $Storage
#> $Artifact
#> $FlexTable
#> $Reference
#> $Transform
#> $Collection
#> $ParamValue
#> $FeatureValue
#> $FlexTableData
#> Additional modules
#> bionty
These registries correspond to Python classes in LaminDB.
To access registries within specific modules, use the $ operator. For example, to access the bionty module:
db$bionty
#> bionty
#> Registries
#> $Gene
#> $Source
#> $Tissue
#> $Disease
#> $Pathway
#> $Protein
#> $CellLine
#> $CellType
#> $Organism
#> $Ethnicity
#> $Phenotype
#> $CellMarker
#> $DevelopmentalStage
#> $ExperimentalFactor
The bionty
and other registries also have corresponding
Python classes.
Working with registries
Let’s use the Artifact
registry as an example. This
registry stores datasets, models, and other data entities.
To see the available functions for the Artifact
registry, print the registry object:
db$Artifact
#> Artifact
#> Simple fields
#> id: AutoField
#> key: CharField
#> uid: CharField
#> hash: CharField
#> kind: CharField
#> size: BigIntegerField
#> otype: CharField
#> suffix: CharField
#> n_files: BigIntegerField
#> version: CharField
#> is_latest: BooleanField
#> created_at: DateTimeField
#> updated_at: DateTimeField
#> description: CharField
#> n_observations: BigIntegerField
#> Relational fields
#> run: Run (many-to-one)
#> space: Space (many-to-one)
#> schema: Schema (many-to-one)
#> storage: Storage (many-to-one)
#> ulabels: ULabel (many-to-many)
#> projects: Project (many-to-many)
#> created_by: User (many-to-one)
#> references: Reference (many-to-many)
#> collections: Collection (many-to-many)
#> input_of_runs: Run (many-to-many)
#> Bionty fields
#> genes: bionty$Gene (many-to-many)
#> tissues: bionty$Tissue (many-to-many)
#> diseases: bionty$Disease (many-to-many)
#> pathways: bionty$Pathway (many-to-many)
#> proteins: bionty$Protein (many-to-many)
#> organisms: bionty$Organism (many-to-many)
#> cell_lines: bionty$CellLine (many-to-many)
#> cell_types: bionty$CellType (many-to-many)
#> phenotypes: bionty$Phenotype (many-to-many)
#> ethnicities: bionty$Ethnicity (many-to-many)
#> cell_markers: bionty$CellMarker (many-to-many)
#> developmental_stages: bionty$DevelopmentalStage (many-to-many)
#> experimental_factors: bionty$ExperimentalFactor (many-to-many)
You can also get a data frame summarising the records associated with a registry.
db$Artifact$df(limit = 5)
#> n_files uid X_aux updated_at
#> 1 290 FYMewVq5twKMDXVy0000 NA 2024-09-17T13:00:13.714256+00:00
#> 2 330 FYMewVq5twKMDXVy0001 NA 2024-09-17T13:01:23.739635+00:00
#> 3 NA 5rnsIP61m6O2Rkt00000 NA 2024-11-25T12:20:22.807106+00:00
#> 4 NA n1EkazEYk7wZjdUB0000 NA 2024-11-25T12:20:35.499512+00:00
#> 5 NA gRUJR3wRz6sBh8FK0000 NA 2024-12-06T16:02:47.813755+00:00
#> description hash X_branch_code
#> 1 Census 2023-12-15 Mfyw8VuqftX5REITfQH_yg 1
#> 2 Census 2024-07-01 bzrXBPNvitSVKvb3GG38_w 1
#> 3 requirements.txt WBwnXEQjGKfD3_LVRPS7PQ 0
#> 4 Report of run CPOQGmldHAqwAlLaPjia dQGbiqShQnkLuxP54_2puw 0
#> 5 requirements.txt 2maVLyT92J-34OS5ZLpJiQ 0
#> version kind is_latest size X_hash_type otype
#> 1 2023-12-15 dataset FALSE 635848093433 md5-d tiledbsoma
#> 2 2024-07-01 dataset TRUE 870700998221 md5-d tiledbsoma
#> 3 <NA> <NA> TRUE 9043 md5 <NA>
#> 4 <NA> <NA> TRUE 647365 md5 <NA>
#> 5 <NA> <NA> TRUE 44038 md5 <NA>
#> n_observations id X_key_is_virtual key
#> 1 68683222 2846 FALSE cell-census/2023-12-15/soma
#> 2 115556140 3665 FALSE cell-census/2024-07-01/soma
#> 3 NA 3672 TRUE <NA>
#> 4 NA 3673 TRUE <NA>
#> 5 NA 3684 TRUE <NA>
#> created_at X_overwrite_versions suffix
#> 1 2024-07-12T12:12:16.091881+00:00 TRUE
#> 2 2024-07-16T12:52:01.424629+00:00 TRUE
#> 3 2024-11-25T12:20:22.806751+00:00 FALSE .txt
#> 4 2024-11-25T12:20:35.499384+00:00 FALSE .html
#> 5 2024-12-06T16:02:47.813741+00:00 FALSE .txt
Working with records
You can fetch a specific record from a registry using its ID or UID. For instance, to get the artifact with UID MkRm3eUKPwfnAyZMWD9v:
artifact <- db$Artifact$get("MkRm3eUKPwfnAyZMWD9v")
This artifact contains an AnnData
object with myeloid
cell data. You can view its metadata:
artifact
#> Artifact(uid='MkRm3eUKPwfnAyZMWD9v', description='blood and bone marrow from a healthy young donor', key='cell-census/2024-07-01/h5ads/d3566d6a-a455-4a15-980f-45eb29114cab.h5ad', id=3503, run_id=27, hash='O3n8I7vL1hBPcYdrSWKxfA', kind='dataset', size=9961974, otype='AnnData', space_id=1, suffix='.h5ad', storage_id=2, version='2024-07-01', is_latest=TRUE, _hash_type='md5-n', created_at='2024-07-12T12:34:10.072963+00:00', created_by_id=1, updated_at='2024-07-12T12:40:47.785686+00:00', _branch_code=1, n_observations=15502, _key_is_virtual=FALSE, _overwrite_versions=FALSE)
For artifact records, you can get more detailed information:
artifact$describe()
#> Artifact(uid='MkRm3eUKPwfnAyZMWD9v', description='blood and bone marrow from a healthy young donor', key='cell-census/2024-07-01/h5ads/d3566d6a-a455-4a15-980f-45eb29114cab.h5ad', id=3503, run_id=27, hash='O3n8I7vL1hBPcYdrSWKxfA', kind='dataset', size=9961974, otype='AnnData', space_id=1, suffix='.h5ad', storage_id=2, version='2024-07-01', is_latest=TRUE, _hash_type='md5-n', created_at='2024-07-12T12:34:10.072963+00:00', created_by_id=1, updated_at='2024-07-12T12:40:47.785686+00:00', _branch_code=1, n_observations=15502, _key_is_virtual=FALSE, _overwrite_versions=FALSE)
#> Provenance
#> $storage = 's3://cellxgene-data-public'
#> $run = '2024-07-16T12:49:41.81955+00:00'
#> $created_by = 'sunnyosun'
Access specific fields of the record using the $
operator:
artifact$id
#> [1] 3503
artifact$uid
#> [1] "MkRm3eUKPwfnAyZMWD9v"
artifact$key
#> [1] "cell-census/2024-07-01/h5ads/d3566d6a-a455-4a15-980f-45eb29114cab.h5ad"
Some fields of a record contain links to related information.
artifact$storage
#> Storage(uid='oIYGbD74', root='s3://cellxgene-data-public', id=2, type='s3', space_id=1, region='us-west-2', created_at='2023-09-19T13:17:56.273068+00:00', created_by_id=1, updated_at='2023-10-16T15:04:08.998203+00:00', _branch_code=1)
artifact$developmental_stages
#> RelatedRecords(field_name='developmental_stages', relation_type='many-to-many', related_to='MkRm3eUKPwfnAyZMWD9v')
When those that are one-to-many or many-to-many relationship, a summary of the related information can be retrieved as a data frame.
artifact$developmental_stages$df()
#> id uid X_aux abbr name synonyms
#> 1 341 4BUoLKl0 NA NA 41-year-old human stage NA
#> created_at updated_at
#> 1 2023-11-28T23:05:31.448233+00:00 2023-11-28T23:05:31.448237+00:00
#> description
#> 1 Adult Stage That Refers To An Adult Who Is Over 41 And Under 42.
#> ontology_id X_branch_code
#> 1 HsapDv:0000135 1
Finally, for artifact records only, you can download the associated data:
artifact$cache() # Cache the data locally
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#> ! run input wasn't tracked, call `ln.track()` and re-run
#> [1] "/home/runner/.cache/lamindb/cellxgene-data-public/cell-census/2024-07-01/h5ads/d3566d6a-a455-4a15-980f-45eb29114cab.h5ad"
artifact$load() # Load the data into memory
#> ! run input wasn't tracked, call `ln.track()` and re-run
#> AnnData object with n_obs × n_vars = 15502 × 460
#> obs: 'Cluster_ID', 'Sample', 'Cell_label', 'is_primary_data', 'organism_ontology_term_id', 'self_reported_ethnicity_ontology_term_id', 'assay_ontology_term_id', 'tissue_ontology_term_id', 'Genotype', 'development_stage_ontology_term_id', 'sex_ontology_term_id', 'disease_ontology_term_id', 'donor_id', 'cell_type_ontology_term_id', 'suspension_type', 'tissue_type', 'cell_type', 'assay', 'disease', 'organism', 'sex', 'tissue', 'self_reported_ethnicity', 'development_stage', 'observation_joinid'
#> var: 'name', 'feature_is_filtered', 'Unnamed: 0', 'feature_name', 'feature_reference', 'feature_biotype', 'feature_length'
#> uns: 'cell_type_ontology_term_id_colors', 'citation', 'default_embedding', 'schema_reference', 'schema_version', 'title'
#> obsm: 'X_projected', 'X_projectedmean'
Currently, {laminr} primarily supports S3 storage.
Support for other storage backends will be added in the future. For more
information related to planned features and the roadmap, please refer to
the Development vignette
(vignette("development", package = "laminr")
).