Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:41450201

BPSS: a Nextflow pipeline for Bacterial Peptide Sequence Selection to detect protein diversity.

Sylvère Bastien · Pauline François · Sara Moussadeq · Jérôme Lemoine · Karen Moreau · François Vandenesch

Bioinformatics (Oxford, England) · 2026 doi:10.1093/bioinformatics/btaf677

Paper

complete

Experiment

partial

Data

partial

Analysis

complete

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:41450201
kind
science-record
content_hash
sha256:03c310d346c438e9e8fb6abdf9db7e3ead55a60326ad53e743bbbf8329a7730a
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:31:25Z
updated_at
2026-11-01T21:36:13Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
BPSS: a Nextflow pipeline for Bacterial Peptide Sequence Selection to detect protein diversity.
doi
10.1093/bioinformatics/btaf677
pmid
41450201
authors array · 6 items
[0]
Sylvère Bastien
[1]
Pauline François
[2]
Sara Moussadeq
[3]
Jérôme Lemoine
[4]
Karen Moreau
[5]
François Vandenesch
journal
Bioinformatics (Oxford, England)
year
2026
abstract
MOTIVATION: Sequence variability can be extremely high, particularly in bacteria due to the rapid accumulation of mutations linked to their high replication rate and environmental selection pressure, which often favors diversifying selection. For most species, there are no automated, computationally efficient tools available for constructing a nonredundant database covering the allelic variability of target proteins. RESULTS: We have thus developed Bacterial Peptide Sequence Selection, a Nextflow pipeline to define a minimal list of peptide sequences for detecting all variants of a protein of interest. AVAILABILITY AND IMPLEMENTATION: All the code and containers used are freely available on Gitlab from https://gitbio.ens-lyon.fr/ciri/stapath/bpss or on Zenodo (10.5281/zenodo.16894981) under GPLv3 open-source license and DockerHub platform from https://hub.docker.com/u/stapath.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:41450201
locator
sections[9] "3 Results and discussion" paragraph 2
quote
Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The latest release of BPSS and documentation can be found at https://gitbio.ens-lyon.fr/ciri/stapath/bpss or at 10.5281/zenodo.16894981. All containers are freely available on DockerHub platform at https://hub.docker.com/u/stapath.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:41450201
locator
sections[15] "Data availability" paragraph 2
quote
The latest release of BPSS and documentation can be found at https://gitbio.ens-lyon.fr/ciri/stapath/bpss or at 10.5281/zenodo.16894981. All containers are freely available on DockerHub platform at https://hub.docker.com/u/stapath.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Linear-regression estimates indicated that WhatsGNU would exceed 64 GB of memory at more than 128,000 genomes, whereas BPSS would exceed that threshold only beyond 622,000 genomes.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:41450201
locator
sections[9] "3 Results and discussion" paragraph 2
quote
Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
partial
objective
Linear-regression estimates indicated that WhatsGNU would exceed 64 GB of memory at more than 128,000 genomes, whereas BPSS would exceed that threshold only beyond 622,000 genomes.
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate from the source
kind
other
state
complete
blocked_on
null
description
The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:41450201
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
blocked
blocked_on
data:accession_absent
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 1 item
[0]
step:obtain_source_data blocked on data:accession_absent
data object · 3 fields
state
partial
assets array · 1 item
[0] object · 15 fields
id
source:pmid:41450201
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1093/bioinformatics/btaf677
sha256
sha256:da820be42f61284a679e30a74940b0ea962f0f4cde051792b6c54785c10a2fe5
bytes
21651
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1093/bioinformatics/btaf677
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC12797209
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
gaps array · 0 items
analysis object · 4 fields
state
complete
methods array · 1 item
[0] object · 10 fields
id
method-1
family
regression_modelling
specific
ols
label
Regression modelling
dsl_operations array · 1 item
[0]
ols_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
1
band
verbatim
quote
Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes.
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
blocked
tier
R4
blocked_on
data:accession_absent
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
ols_fit
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ols.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R4
reachable
false
accessions array · 0 items
resolved_accessions array · 0 items
statements array · 1 item
[0]
The latest release of BPSS and documentation can be found at https://gitbio.ens-lyon.fr/ciri/stapath/bpss or at 10.5281/zenodo.16894981. All containers are freely available on DockerHub platform at https://hub.docker.com/u/stapath.
basis
The paper names no accession to its source data, so the data has to come from the authors.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
ols_fit
assets array · 1 item
[0]
source:pmid:41450201
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:None
gaps array · 1 item
[0]
data:accession_absent
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T20:08:52Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
6493
completion_tokens
1585
cached_tokens
264
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:41450201
type
paper
label
pmid:41450201
[1] object · 3 fields
id
source:pmid:41450201
type
manuscript
label
PMID 41450201 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:41450201
type
paper
label
pmid:41450201
[1] object · 3 fields
id
source:pmid:41450201
type
manuscript
label
PMID 41450201 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-41450201
type
extraction
used array · 1 item
[0]
source:pmid:41450201
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-None
type
accession_resolution
used array · 1 item
[0]
data:geo:None
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:41450201
parent_hash
sha256:5015d8fdb8af056e1e0319c94635cceeda536f3bc48cc975a0d3abb7106e6df7
fork_of
null
gaps array · 5 items
[0]
execution.not_run
[1]
review.human_critique
[2]
review.independent_reader
[3]
review.machine_critique
[4]
step:obtain_source_data blocked on data:accession_absent
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
regression_modelling
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
ols_fit
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41450201", "kind": "science-record", "revision": 2, "content_hash": "sha256:03c310d346c438e9e8fb6abdf9db7e3ead55a60326ad53e743bbbf8329a7730a", "created_at": "2026-11-01T20:31:25Z", "updated_at": "2026-11-01T21:36:13Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "BPSS: a Nextflow pipeline for Bacterial Peptide Sequence Selection to detect protein diversity.", "doi": "10.1093/bioinformatics/btaf677", "pmid": "41450201", "authors": ["Sylvère Bastien", "Pauline François", "Sara Moussadeq", "Jérôme Lemoine", "Karen Moreau", "François Vandenesch"], "journal": "Bioinformatics (Oxford, England)", "year": 2026, "abstract": "MOTIVATION: Sequence variability can be extremely high, particularly in bacteria due to the rapid accumulation of mutations linked to their high replication rate and environmental selection pressure, which often favors diversifying selection. For most species, there are no automated, computationally efficient tools available for constructing a nonredundant database covering the allelic variability of target proteins.\nRESULTS: We have thus developed Bacterial Peptide Sequence Selection, a Nextflow pipeline to define a minimal list of peptide sequences for detecting all variants of a protein of interest.\nAVAILABILITY AND IMPLEMENTATION: All the code and containers used are freely available on Gitlab from https://gitbio.ens-lyon.fr/ciri/stapath/bpss or on Zenodo (10.5281/zenodo.16894981) under GPLv3 open-source license and DockerHub platform from https://hub.docker.com/u/stapath.", "claims": [{"id": "claim-method", "statement": "Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41450201", "locator": "sections[9] \"3 Results and discussion\" paragraph 2", "quote": "Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The latest release of BPSS and documentation can be found at https://gitbio.ens-lyon.fr/ciri/stapath/bpss or at 10.5281/zenodo.16894981. All containers are freely available on DockerHub platform at https://hub.docker.com/u/stapath.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41450201", "locator": "sections[15] \"Data availability\" paragraph 2", "quote": "The latest release of BPSS and documentation can be found at https://gitbio.ens-lyon.fr/ciri/stapath/bpss or at 10.5281/zenodo.16894981. All containers are freely available on DockerHub platform at https://hub.docker.com/u/stapath."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Linear-regression estimates indicated that WhatsGNU would exceed 64 GB of memory at more than 128,000 genomes, whereas BPSS would exceed that threshold only beyond 622,000 genomes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41450201", "locator": "sections[9] \"3 Results and discussion\" paragraph 2", "quote": "Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "Linear-regression estimates indicated that WhatsGNU would exceed 64 GB of memory at more than 128,000 genomes, whereas BPSS would exceed that threshold only beyond 622,000 genomes.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:41450201"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:accession_absent"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41450201", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1093/bioinformatics/btaf677", "sha256": "sha256:da820be42f61284a679e30a74940b0ea962f0f4cde051792b6c54785c10a2fe5", "bytes": 21651, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1093/bioinformatics/btaf677", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12797209", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}], "gaps": []}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "regression_modelling", "specific": "ols", "label": "Regression modelling", "dsl_operations": ["ols_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["predictors_and_outcome"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes."}}], "targets": [], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "blocked", "tier": "R4", "blocking_axis": "data", "blocked_on": "data:accession_absent", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["ols_fit"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ols."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R4", "reachable": false, "accessions": [], "resolved_accessions": [], "statements": ["The latest release of BPSS and documentation can be found at https://gitbio.ens-lyon.fr/ciri/stapath/bpss or at 10.5281/zenodo.16894981. All containers are freely available on DockerHub platform at https://hub.docker.com/u/stapath."], "basis": "The paper names no accession to its source data, so the data has to come from the authors."}}, "can_run": {"dsl_operations": ["ols_fit"], "assets": ["source:pmid:41450201"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:None"]}, "gaps": ["data:accession_absent"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T20:08:52Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 6493, "completion_tokens": 1585, "cached_tokens": 264}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:41450201", "type": "paper", "label": "pmid:41450201"}, {"id": "source:pmid:41450201", "type": "manuscript", "label": "PMID 41450201 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:41450201", "type": "paper", "label": "pmid:41450201"}, {"id": "source:pmid:41450201", "type": "manuscript", "label": "PMID 41450201 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-41450201", "type": "extraction", "used": ["source:pmid:41450201"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-None", "type": "accession_resolution", "used": ["data:geo:None"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:41450201", "parent_hash": "sha256:5015d8fdb8af056e1e0319c94635cceeda536f3bc48cc975a0d3abb7106e6df7", "fork_of": null, "generation": 1}, "gaps": ["execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:obtain_source_data blocked on data:accession_absent"], "assays": [{"role": "analysis", "definition_id": "regression_modelling", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["ols_fit"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes."], "order_basis": "analysis_only", "id": "assay:1"}]}