Skip to main content

Secondary to primary identifier mapping

Project description

pySec2Pri

Tests PyPI PyPI - Python Version PyPI - License Documentation Status

Create and use mapping files for secondary (retired/withdrawn) biological database identifiers and labels to primary (current) identifiers and labels.

Outputs mappings in SSSOM format by default. Subjects are secondary, objects are primary.

Installation

uv pip install pysec2pri

Or install from source:

uv pip install git+https://github.com/jmillanacosta/pysec2pri.git

Quick Start

Generating mapping sets

To obtain the secondary to primary identifier SSSOM mapping set for ChEBI:

pysec2pri chebi

This will automatically download the latest ChEBI release and generate an SSSOM mapping file in your current directory.

To process locally and specify the output:

pysec2pri chebi ChEBI_complete_3star.sdf --output my_mappings.sssom.tsv

For more options and help on any command:

pysec2pri --help
pysec2pri chebi --help

The default output is in SSSOM (Simple Standard for Sharing Ontology Mappings) TSV format.

Updating IDs and labels

A generated mapping set can be used to update IDs and labels in Python:

from pysec2pri import generate_chebi_synonyms, resolve_labels
cs = generate_chebi_synonyms()
resolve_labels(["Glucose", "ATP", "Guanine"], cs)

Or from the command line, given a TSV file gene_ex.tsv:

gene	data
HGNC:131	3.5

Resolve the gene column to primary HGNC IDs (a new _primary column is added):

pysec2pri update-ids gene_ex.tsv hgnc --at gene -o gene_ex_primary.tsv
# gene        data    gene_primary
# HGNC:131    3.5     HGNC:145

The same pattern works for labels with update-labels, and multiple columns can be resolved by repeating --at:

pysec2pri update-ids data.tsv hgnc --at gene_id --at related_gene_id

To skip regenerating the mapping set, pass a pre-built mapping file:

pysec2pri hgnc ids  # outputs hgnc_{version}_sssom.tsv
pysec2pri update-ids gene_ex.tsv hgnc --at gene --mapping hgnc_{version}_sssom.tsv

Ambiguous mappings (where a deprecated ID or label serves as a recommended for another entity) are not resolved, but flagged for users to solve them manually. If the input file has a column of known aliases or synonyms for each row, pass it as a hint to resolve ambiguous names automatically:

pysec2pri update-ids data.tsv hgnc --at gene_id --synonyms gene_aliases
# Pairs gene_aliases hints with gene_id; repeat --at X--synonyms Y for more columns.

A subset with ambiguous mappings only can be generated like:

pysec2pri ambiguous hgnc-labels

Mapping types

Deprecations (IDs)

A deprecated ID is mapped to its replacement via IAO:0100001 ("term replaced by"). Each row is 1-to-1: one secondary subject_id : one primary object_id.

flowchart LR
    D["subject_id (deprecated)"]
    P["object_id (primary)"]
    D -->|"term replaced by"| P

Ambiguity happens when the same ID appears as both a subject_id (secondary) and an object_id (primary) across different mappings.

flowchart LR
    A["A (primary of C and secondary of B)"] -->|term replaced by| B["B (primary)"]
    C["C (secondary)"] -->|term replaced by| A

Labels

The same 1-to-1 pattern applies to label (or symbol) mappings: a previous or alias label (subject_label) maps to the current label (object_label) of the same entity via IAO:0100001.

Ambiguity appears when the same label is both a subject_label (previous name, secondary) and an object_label (current name, primary) across different mappings.

Aliases / synonyms

Alias mappings use oboInOwl:hasExactSynonym. The alias is the subject_label and the authoritative name is the object_label/object_id.

flowchart LR
    A["subject_label (alias / synonym)"]
    P["object_label/object_id (primary)"]
    A -->|"oboInOwl:hasExactSynonym"| P

Resolving ambiguity with alias/synonym hints

When a name is ambiguous, alias mappings are used as evidence. For each candidate interpretation the resolver checks whether any user-supplied hint matches a known alias of that candidate's primary entity. A hit on the secondary candidate's target confirms the name is being used as a previous name; a hit on the primary candidate's own aliases confirms it is already current.

flowchart TD
    Name["ambiguous name"]
    Hint["Alias hint"]
    Check{"Hint matches alias of…"}
    SecPath["Replacement target: replace"]
    PriPath["Name itself: keep"]
    Blank["Neither: flag for manual review"]
    Name --> Check
    Hint -.-> Check
    Check -->|secondary candidate| SecPath
    Check -->|primary candidate| PriPath
    Check -->|no match| Blank

Documentation

Full documentation: https://pysec2pri.readthedocs.io/

Supported Databases

Datasource license citation
ChEBI CC BY 4.0. Hastings J, Owen G, Dekker A, et al. ChEBI in 2016: Improved services and an expanding collection of metabolites. Nucleic Acids Research. 2016 Jan;44(D1):D1214-9. DOI: 10.1093/nar/gkv1031. PMID: 26467479; PMCID: PMC4702775.
HMDB CC BY 4.0 Wishart DS, Guo A, Oler E, Wang F, Anjum A, Peters H, Dizon R, Sayeeda Z, Tian S, Lee BL, Berjanskii M, Mah R, Yamamoto M, Jovel J, Torres-Calzada C, Hiebert-Giesbrecht M, Lui VW, Varshavi D, Varshavi D, Allen D, Arndt D, Khetarpal N, Sivakumaran A, Harford K, Sanford S, Yee K, Cao X, Budinski Z, Liigand J, Zhang L, Zheng J, Mandal R, Karu N, Dambrova M, Schiöth HB, Greiner R, Gautam V. HMDB 5.0: the Human Metabolome Database for 2022. Nucleic Acids Res. 2022 Jan 7;50(D1):D622-D631. doi: 10.1093/nar/gkab1062. PMID: 34986597; PMCID: PMC8728138.
HGNC link Seal RL, Braschi B, Gray K, Jones TEM, Tweedie S, Haim-Vilmovsky L, Bruford EA. Genenames.org: the HGNC resources in 2023. Nucleic Acids Res. 2023 Jan 6;51(D1):D1003-D1009. doi: 10.1093/nar/gkac888. PMID: 36243972; PMCID: PMC9825485.
NCBI link Sayers EW, Bolton EE, Brister JR, Canese K, Chan J, Comeau DC, Connor R, Funk K, Kelly C, Kim S, Madej T, Marchler-Bauer A, Lanczycki C, Lathrop S, Lu Z, Thibaud-Nissen F, Murphy T, Phan L, Skripchenko Y, Tse T, Wang J, Williams R, Trawick BW, Pruitt KD, Sherry ST. Database resources of the national center for biotechnology information. Nucleic Acids Res. 2022 Jan 7;50(D1):D20-D26. doi: 10.1093/nar/gkab1112. PMID: 34850941; PMCID: PMC8728269.
UniProt CC BY 4.0 UniProt Consortium. UniProt: the universal protein knowledgebase in 2021. Nucleic Acids Res. 2021 Jan 8;49(D1):D480-D489. doi: 10.1093/nar/gkaa1100. PMID: 33237286; PMCID: PMC7778908.
Wikidata Vrandecic, D., Krotzsch, M. Wikidata: a free collaborative knowledgebase. Communications of the ACM. 2014. doi: 10.1145/2629489.

License

MIT License. See LICENSE for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pysec2pri-0.1.1.tar.gz (81.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pysec2pri-0.1.1-py3-none-any.whl (102.6 kB view details)

Uploaded Python 3

File details

Details for the file pysec2pri-0.1.1.tar.gz.

File metadata

  • Download URL: pysec2pri-0.1.1.tar.gz
  • Upload date:
  • Size: 81.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pysec2pri-0.1.1.tar.gz
Algorithm Hash digest
SHA256 83c9cc74893680149615cf5ccc9b8824f8a97b62f229a7f868ffc756a89be6dc
MD5 92f8a92cd223da8303d399aab091883b
BLAKE2b-256 76852223cb4473919f7a51d1b2163b96db7d3db1e00a9c60753ba906932450bd

See more details on using hashes here.

Provenance

The following attestation bundles were made for pysec2pri-0.1.1.tar.gz:

Publisher: create-release.yml on jmillanacosta/pysec2pri

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pysec2pri-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: pysec2pri-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 102.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pysec2pri-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8841201249866f02c4f23ca0db8abf1c17c836e8ee4c5d9baf273acf7d638719
MD5 9a079a0496636b7d48d72ae358b011f8
BLAKE2b-256 95ff4d413b7d2fe4b7d295963163831f54cadbc254d53da1307308267179a26e

See more details on using hashes here.

Provenance

The following attestation bundles were made for pysec2pri-0.1.1-py3-none-any.whl:

Publisher: create-release.yml on jmillanacosta/pysec2pri

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page