ExperimentalFactor#
lamindb provides access to the following public protein ontologies through bionty:
Here we show how to access and search ExperimentalFactor ontologies to standardize new data.
import bionty as bt
import pandas as pd
π‘ connected lamindb: testuser1/test-public-ontologies
PublicOntology objects#
Let us create a public ontology accessor with .public
method, which chooses a default public ontology source from PublicSource
.
Itβs a PublicOntology object, which you can think about as a public registry:
experimentalfactors = bt.ExperimentalFactor.public(organism="all")
experimentalfactors
PublicOntology
Entity: ExperimentalFactor
Organism: all
Source: efo, 3.57.0
#terms: 17352
π .df(): ontology reference table
π .lookup(): autocompletion of terms
π― .search(): free text search of terms
β
.validate(): strictly validate values
π§ .inspect(): full inspection of values
π½ .standardize(): convert to standardized names
πͺ .diff(): difference between two versions
π .to_pronto(): Pronto.Ontology object
As for registries, you can export the ontology as a DataFrame
:
df = experimentalfactors.df()
df.head()
name | definition | synonyms | parents | molecule | instrument | measurement | |
---|---|---|---|---|---|---|---|
ontology_id | |||||||
EFO:0000001 | experimental factor | An Experimental Factor In Array Express Which ... | ExperimentalFactor | [] | None | None | None |
EFO:0000002 | CS57511 | Cs57511 Is An Arabidopsis Thaliana Strain As D... | None | [] | None | None | None |
EFO:0000003 | CS57512 | Cs57512 Is An Arabidopsis Thaliana Strain As D... | None | [] | None | None | None |
EFO:0000004 | CS57515 | Cs57515 Is An Arabidopsis Thaliana Strain As D... | None | [] | None | None | None |
EFO:0000005 | CS57520 | Cs57520 Is An Arabidopsis Thaliana Strain As D... | None | [] | None | None | None |
Unlike registries, you can also export it as a Pronto object via public.ontology
.
Look up terms#
As for registries, terms can be looked up with auto-complete:
lookup = experimentalfactors.lookup()
The .
accessor provides normalized terms (lower case, only contains alphanumeric characters and underscores):
lookup.sequencer
ExperimentalFactor(ontology_id='EFO:0003739', name='sequencer', definition=None, synonyms=None, parents=array(['EFO:0000548'], dtype=object), molecule=None, instrument=None, measurement=None)
To look up the exact original strings, convert the lookup object to dict and use the []
accessor:
lookup_dict = lookup.dict()
lookup_dict["sequencer"]
ExperimentalFactor(ontology_id='EFO:0003739', name='sequencer', definition=None, synonyms=None, parents=array(['EFO:0000548'], dtype=object), molecule=None, instrument=None, measurement=None)
By default, the name
field is used to generate lookup keys. You can specify another field to look up:
lookup = experimentalfactors.lookup(experimentalfactors.ontology_id)
lookup.efo_0003739
ExperimentalFactor(ontology_id='EFO:0003739', name='sequencer', definition=None, synonyms=None, parents=array(['EFO:0000548'], dtype=object), molecule=None, instrument=None, measurement=None)
Search terms#
Search behaves in the same way as it does for registries:
experimentalfactors.search("single-cell rna seq").head(3)
ontology_id | definition | synonyms | parents | molecule | instrument | measurement | __ratio__ | |
---|---|---|---|---|---|---|---|---|
name | ||||||||
single-cell RNA sequencing | EFO:0008913 | A Protocol That Provides The Expression Profil... | scRNA-seq|single cell RNA sequencing|single-ce... | [EFO:0001457, EFO:0007832] | RNA assay | single cell sequencing | None | 100.000000 |
scATAC-seq | EFO:0010891 | A Method For Detecting The Accessible Chromati... | single cell assay for transposase-accessible c... | [EFO:0010183, EFO:0007045] | DNA assay | assay by high throughput sequencer | None | 87.179487 |
single cell Hi-C | EFO:0009979 | A Single Cell Hi-C Assay. | None | [EFO:0010183, EFO:0002697, EFO:0007693] | DNA assay | assay by high throughput sequencer;Hi-C | None | 74.285714 |
By default, search also covers synonyms:
experimentalfactors.search("single-cell RNA-seq").head(3)
ontology_id | definition | synonyms | parents | molecule | instrument | measurement | __ratio__ | |
---|---|---|---|---|---|---|---|---|
name | ||||||||
single-cell RNA sequencing | EFO:0008913 | A Protocol That Provides The Expression Profil... | scRNA-seq|single cell RNA sequencing|single-ce... | [EFO:0001457, EFO:0007832] | RNA assay | single cell sequencing | None | 100.000000 |
scATAC-seq | EFO:0010891 | A Method For Detecting The Accessible Chromati... | single cell assay for transposase-accessible c... | [EFO:0010183, EFO:0007045] | DNA assay | assay by high throughput sequencer | None | 87.179487 |
single cell Hi-C | EFO:0009979 | A Single Cell Hi-C Assay. | None | [EFO:0010183, EFO:0002697, EFO:0007693] | DNA assay | assay by high throughput sequencer;Hi-C | None | 74.285714 |
You can turn this off synonym by passing synonyms_field=None
:
experimentalfactors.search("single-cell RNA-seq", synonyms_field=None).head(3)
ontology_id | definition | synonyms | parents | molecule | instrument | measurement | __ratio__ | |
---|---|---|---|---|---|---|---|---|
name | ||||||||
single-cell RNA sequencing | EFO:0008913 | A Protocol That Provides The Expression Profil... | scRNA-seq|single cell RNA sequencing|single-ce... | [EFO:0001457, EFO:0007832] | RNA assay | single cell sequencing | None | 84.444444 |
single cell Hi-C | EFO:0009979 | A Single Cell Hi-C Assay. | None | [EFO:0010183, EFO:0002697, EFO:0007693] | DNA assay | assay by high throughput sequencer;Hi-C | None | 74.285714 |
single cell sequencing | EFO:0007832 | Single Cell Sequencing Examines The Sequence I... | None | [EFO:0003740] | None | single cell sequencing | None | 73.170732 |
Search another field (default is .name
):
experimentalfactors.search(
"assay which analysis the transcriptome of a biological sample",
field=experimentalfactors.definition,
).head()
ontology_id | name | synonyms | parents | molecule | instrument | measurement | __ratio__ | |
---|---|---|---|---|---|---|---|---|
definition | ||||||||
An Assay In Which The Transcriptome Of A Biological Sample Is Analysed. | EFO:0001032 | transcription profiling | transcriptional profiling | [EFO:0002694] | None | None | None | 79.389313 |
An Assay In Which The Transcriptome Of A Biological Sample Is Analysed Using Array Technology. | EFO:0002768 | transcription profiling by array | None | [EFO:0001032, EFO:0001457, EFO:0002696] | RNA assay | assay by array | None | 68.387097 |
An Assay In Which The Transcriptome Of A Biological Sample Is Analysed Using A Tiling Path Array. | EFO:0002769 | transcription profiling by tiling array | None | [EFO:0001032, EFO:0001457, EFO:0002696] | RNA assay | assay by array | None | 66.242038 |
An Assay In Which The Transcriptome Of A Biological Sample Is Analysed By Reverse Transcription Pcr (Rt-Pcr) | EFO:0002943 | transcription profiling by RT-PCR | None | [EFO:0001032] | None | None | None | 61.904762 |
An Assay In Which The Transcriptome Of A Biological Sample Is Analysed By Serial Analysis Of Gene Expression (Sage) | EFO:0002941 | transcription profiling by SAGE | None | [EFO:0001032] | None | None | None | 59.428571 |
Standardize ExperimentalFactor identifiers#
Let us generate a DataFrame
that stores a number of ExperimentalFactor identifiers, some of which corrupted:
df_orig = pd.DataFrame(
index=[
"EFO:0011021"
"EFO:1002050"
"EFO:1002047"
"EFO:1002049"
"This experimentalfactor does not exist",
]
)
df_orig
EFO:0011021EFO:1002050EFO:1002047EFO:1002049This experimentalfactor does not exist |
---|
We can check whether any of our values are validated against the ontology reference:
validated = experimentalfactors.validate(df_orig.index, experimentalfactors.name)
df_orig.index[~validated]
β 1 term (100.00%) is not validated: EFO:0011021EFO:1002050EFO:1002047EFO:1002049This experimentalfactor does not exist
Index(['EFO:0011021EFO:1002050EFO:1002047EFO:1002049This experimentalfactor does not exist'], dtype='object')
Ontology source versions#
For any given entity, we can choose from a number of versions:
bt.PublicSource.filter(entity="ExperimentalFactor").df()
uid | entity | organism | currently_used | source | source_name | version | url | md5 | source_website | created_at | updated_at | created_by_id | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
id | |||||||||||||
39 | 6fKX | ExperimentalFactor | all | True | efo | The Experimental Factor Ontology | 3.57.0 | http://www.ebi.ac.uk/efo/releases/v3.57.0/efo.owl | 2ecafc69b3aba7bdb31ad99438505c05 | https://bioportal.bioontology.org/ontologies/EFO | 2024-04-24 12:46:12.397780+00:00 | 2024-04-24 12:46:12.397789+00:00 | 1 |
40 | L6y0 | ExperimentalFactor | all | False | efo | The Experimental Factor Ontology | 3.48.0 | http://www.ebi.ac.uk/efo/releases/v3.48.0/efo.owl | 3367e9a9ae3dee9113024e5108c49091 | https://bioportal.bioontology.org/ontologies/EFO | 2024-04-24 12:46:12.397870+00:00 | 2024-04-24 12:46:12.397879+00:00 | 1 |
When instantiating a Bionty object, we can choose a source or version:
public_source = bt.PublicSource.filter(
source="efo", version="3.48.0", organism="all"
).one()
experimentalfactors= bt.ExperimentalFactor.public(public_source=public_source)
experimentalfactors
β loading non-default source inside a LaminDB instance
PublicOntology
Entity: ExperimentalFactor
Organism: all
Source: efo, 3.48.0
#terms: 14684
π .df(): ontology reference table
π .lookup(): autocompletion of terms
π― .search(): free text search of terms
β
.validate(): strictly validate values
π§ .inspect(): full inspection of values
π½ .standardize(): convert to standardized names
πͺ .diff(): difference between two versions
π .to_pronto(): Pronto.Ontology object
The currently used ontologies can be displayed using:
bt.PublicSource.filter(currently_used=True).df()
Show code cell output
uid | entity | organism | currently_used | source | source_name | version | url | md5 | source_website | created_at | updated_at | created_by_id | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
id | |||||||||||||
1 | 6IUo | Organism | vertebrates | True | ensembl | Ensembl | release-110 | https://ftp.ensembl.org/pub/release-110/specie... | f3faf95648d3a2b50fd3625456739706 | https://www.ensembl.org | 2024-04-24 12:46:12.394209+00:00 | 2024-04-24 12:46:12.394242+00:00 | 1 |
4 | 2Jzh | Organism | bacteria | True | ensembl | Ensembl | release-57 | https://ftp.ensemblgenomes.ebi.ac.uk/pub/bacte... | ee28510ed5586ea7ab4495717c96efc8 | https://www.ensembl.org | 2024-04-24 12:46:12.394548+00:00 | 2024-04-24 12:46:12.394558+00:00 | 1 |
5 | 1kdI | Organism | fungi | True | ensembl | Ensembl | release-57 | http://ftp.ensemblgenomes.org/pub/fungi/releas... | dbcde58f4396ab8b2480f7fe9f83df8a | https://www.ensembl.org | 2024-04-24 12:46:12.394638+00:00 | 2024-04-24 12:46:12.394648+00:00 | 1 |
6 | 2mIM | Organism | metazoa | True | ensembl | Ensembl | release-57 | http://ftp.ensemblgenomes.org/pub/metazoa/rele... | 424636a574fec078a61cbdddb05f9132 | https://www.ensembl.org | 2024-04-24 12:46:12.394730+00:00 | 2024-04-24 12:46:12.394740+00:00 | 1 |
7 | 2XQ6 | Organism | plants | True | ensembl | Ensembl | release-57 | https://ftp.ensemblgenomes.ebi.ac.uk/pub/plant... | eadaa1f3e527e4c3940c90c7fa5c8bf4 | https://www.ensembl.org | 2024-04-24 12:46:12.394821+00:00 | 2024-04-24 12:46:12.394830+00:00 | 1 |
8 | 1Vzs | Organism | all | True | ncbitaxon | NCBItaxon Ontology | 2023-06-20 | s3://bionty-assets/df_all__ncbitaxon__2023-06-... | 00d97ba65627f1cd65636d2df22ea76c | https://github.com/obophenotype/ncbitaxon | 2024-04-24 12:46:12.394910+00:00 | 2024-04-24 12:46:12.394919+00:00 | 1 |
9 | 4yVc | Gene | human | True | ensembl | Ensembl | release-110 | s3://bionty-assets/df_human__ensembl__release-... | 832f3947e83664588d419608a469b528 | https://www.ensembl.org | 2024-04-24 12:46:12.395000+00:00 | 2024-04-24 12:46:12.395010+00:00 | 1 |
11 | 2akp | Gene | mouse | True | ensembl | Ensembl | release-110 | s3://bionty-assets/df_mouse__ensembl__release-... | fa4ce130f2929aefd7ac3bc8eaf0c4de | https://www.ensembl.org | 2024-04-24 12:46:12.395183+00:00 | 2024-04-24 12:46:12.395193+00:00 | 1 |
13 | 2UvD | Gene | saccharomyces cerevisiae | True | ensembl | Ensembl | release-110 | s3://bionty-assets/df_saccharomyces cerevisiae... | 2e59495a3e87ea6575e408697dd73459 | https://www.ensembl.org | 2024-04-24 12:46:12.395365+00:00 | 2024-04-24 12:46:12.395375+00:00 | 1 |
14 | 7llW | Protein | human | True | uniprot | Uniprot | 2023-03 | s3://bionty-assets/df_human__uniprot__2023-03_... | 1c46e85c6faf5eff3de5b4e1e4edc4d3 | https://www.uniprot.org | 2024-04-24 12:46:12.395456+00:00 | 2024-04-24 12:46:12.395466+00:00 | 1 |
16 | 5U7J | Protein | mouse | True | uniprot | Uniprot | 2023-03 | s3://bionty-assets/df_mouse__uniprot__2023-03_... | 9d5e9a8225011d3218e10f9bbb96a46c | https://www.uniprot.org | 2024-04-24 12:46:12.395639+00:00 | 2024-04-24 12:46:12.395648+00:00 | 1 |
18 | 5nkB | CellMarker | human | True | cellmarker | CellMarker | 2.0 | s3://bionty-assets/human_cellmarker_2.0_CellMa... | d565d4a542a5c7e7a06255975358e4f4 | http://bio-bigdata.hrbmu.edu.cn/CellMarker | 2024-04-24 12:46:12.395827+00:00 | 2024-04-24 12:46:12.395837+00:00 | 1 |
19 | 6AFz | CellMarker | mouse | True | cellmarker | CellMarker | 2.0 | s3://bionty-assets/mouse_cellmarker_2.0_CellMa... | 189586732c63be949e40dfa6a3636105 | http://bio-bigdata.hrbmu.edu.cn/CellMarker | 2024-04-24 12:46:12.395918+00:00 | 2024-04-24 12:46:12.395927+00:00 | 1 |
20 | 6cbC | CellLine | all | True | clo | Cell Line Ontology | 2022-03-21 | https://data.bioontology.org/ontologies/CLO/su... | ea58a1010b7e745702a8397a526b3a33 | https://bioportal.bioontology.org/ontologies/CLO | 2024-04-24 12:46:12.396008+00:00 | 2024-04-24 12:46:12.396017+00:00 | 1 |
21 | 6tvq | CellType | all | True | cl | Cell Ontology | 2023-08-24 | http://purl.obolibrary.org/obo/cl/releases/202... | 46e7dd89421f1255cf0191eca1548f73 | https://obophenotype.github.io/cell-ontology | 2024-04-24 12:46:12.396098+00:00 | 2024-04-24 12:46:12.396108+00:00 | 1 |
25 | 1PY3 | Tissue | all | True | uberon | Uberon multi-species anatomy ontology | 2023-09-05 | http://purl.obolibrary.org/obo/uberon/releases... | abcee3ede566d1311d758b853ccdf5aa | http://obophenotype.github.io/uberon | 2024-04-24 12:46:12.396461+00:00 | 2024-04-24 12:46:12.396471+00:00 | 1 |
29 | 6EOm | Disease | all | True | mondo | Mondo Disease Ontology | 2023-08-02 | http://purl.obolibrary.org/obo/mondo/releases/... | 7f33767422042eec29f08b501fc851db | https://mondo.monarchinitiative.org | 2024-04-24 12:46:12.396822+00:00 | 2024-04-24 12:46:12.396831+00:00 | 1 |
33 | 3V9D | Disease | human | True | doid | Human Disease Ontology | 2023-03-31 | http://purl.obolibrary.org/obo/doid/releases/2... | 64f083a1e47867c307c8eae308afc3bb | https://disease-ontology.org | 2024-04-24 12:46:12.397188+00:00 | 2024-04-24 12:46:12.397197+00:00 | 1 |
39 | 6fKX | ExperimentalFactor | all | True | efo | The Experimental Factor Ontology | 3.57.0 | http://www.ebi.ac.uk/efo/releases/v3.57.0/efo.owl | 2ecafc69b3aba7bdb31ad99438505c05 | https://bioportal.bioontology.org/ontologies/EFO | 2024-04-24 12:46:12.397780+00:00 | 2024-04-24 12:46:12.397789+00:00 | 1 |
41 | 6jHz | Phenotype | human | True | hp | Human Phenotype Ontology | 2023-06-17 | https://github.com/obophenotype/human-phenotyp... | 65e8d96bc81deb893163927063b10c06 | https://hpo.jax.org | 2024-04-24 12:46:12.397961+00:00 | 2024-04-24 12:46:12.397970+00:00 | 1 |
44 | 4q5A | Phenotype | mammalian | True | mp | Mammalian Phenotype Ontology | 2023-05-31 | https://github.com/mgijax/mammalian-phenotype-... | be89052cf6d9c0b6197038fe347ef293 | https://github.com/mgijax/mammalian-phenotype-... | 2024-04-24 12:46:12.398231+00:00 | 2024-04-24 12:46:12.398241+00:00 | 1 |
45 | 6Czy | Phenotype | zebrafish | True | zp | Zebrafish Phenotype Ontology | 2022-12-17 | https://github.com/obophenotype/zebrafish-phen... | 03430b567bf153216c0fa4c3440b3b24 | https://github.com/obophenotype/zebrafish-phen... | 2024-04-24 12:46:12.398321+00:00 | 2024-04-24 12:46:12.398330+00:00 | 1 |
47 | 55lY | Phenotype | all | True | pato | Phenotype And Trait Ontology | 2023-05-18 | http://purl.obolibrary.org/obo/pato/releases/2... | bd472f4971492109493d4ad8a779a8dd | https://github.com/pato-ontology/pato | 2024-04-24 12:46:12.398499+00:00 | 2024-04-24 12:46:12.398508+00:00 | 1 |
48 | 48aa | Pathway | all | True | go | Gene Ontology | 2023-05-10 | https://data.bioontology.org/ontologies/GO/sub... | e9845499eadaef2418f464cd7e9ac92e | http://geneontology.org | 2024-04-24 12:46:12.398588+00:00 | 2024-04-24 12:46:12.398597+00:00 | 1 |
50 | 3rm9 | BFXPipeline | all | True | lamin | Bioinformatics Pipeline | 1.0.0 | s3://bionty-assets/bfxpipelines.json | a7eff57a256994692fba46e0199ffc94 | https://lamin.ai | 2024-04-24 12:46:12.398768+00:00 | 2024-04-24 12:46:12.398777+00:00 | 1 |
51 | 3TI0 | Drug | all | True | dron | Drug Ontology | 2023-03-10 | https://data.bioontology.org/ontologies/DRON/s... | 75e86011158fae76bb46d96662a33ba3 | https://bioportal.bioontology.org/ontologies/DRON | 2024-04-24 12:46:12.398857+00:00 | 2024-04-24 12:46:12.398866+00:00 | 1 |
52 | 7CRn | DevelopmentalStage | human | True | hsapdv | Human Developmental Stages | 2020-03-10 | http://aber-owl.net/media/ontologies/HSAPDV/11... | 52181d59df84578ed69214a5cb614036 | https://github.com/obophenotype/developmental-... | 2024-04-24 12:46:12.398945+00:00 | 2024-04-24 12:46:12.398954+00:00 | 1 |
53 | 16tR | DevelopmentalStage | mouse | True | mmusdv | Mouse Developmental Stages | 2020-03-10 | http://aber-owl.net/media/ontologies/MMUSDV/9/... | 5bef72395d853c7f65450e6c2a1fc653 | https://github.com/obophenotype/developmental-... | 2024-04-24 12:46:12.399035+00:00 | 2024-04-24 12:46:12.399044+00:00 | 1 |
54 | 3Tlc | Ethnicity | human | True | hancestro | Human Ancestry Ontology | 3.0 | https://github.com/EBISPOT/hancestro/raw/3.0/h... | 76dd9efda9c2abd4bc32fc57c0b755dd | https://github.com/EBISPOT/hancestro | 2024-04-24 12:46:12.399124+00:00 | 2024-04-24 12:46:12.399133+00:00 | 1 |
55 | 5JnV | BioSample | all | True | ncbi | NCBI BioSample attributes | 2023-09 | s3://bionty-assets/df_all__ncbi__2023-09__BioS... | 918db9bd1734b97c596c67d9654a4126 | https://www.ncbi.nlm.nih.gov/biosample/docs/at... | 2024-04-24 12:46:12.399213+00:00 | 2024-04-24 12:46:12.399223+00:00 | 1 |