<tt>seqme</tt> : a Python library for evaluating biological sequence design from generative models

Rasmus Møller-Larsen, Adam Izdebski, Jan Olszewski, Pankhil Gawade, Michal Kmicikiewicz, Wojciech Zarzecki, Ewa Szczurek

Open source

DOI: 10.1093/bioadv/vbag212
Published: 2026
Container: Bioinformatics Advances
Publisher: Oxford University Press (OUP)
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1093/bioadv/vbag212,
  title = {<tt>seqme</tt>
                    : a Python library for evaluating biological sequence design from generative models},
  author = {Rasmus Møller-Larsen and Adam Izdebski and Jan Olszewski and Pankhil Gawade and Michal Kmicikiewicz and Wojciech Zarzecki and Ewa Szczurek},
  year = {2026},
  journal = {Bioinformatics Advances},
  doi = {10.1093/bioadv/vbag212},
  url = {https://doi.org/10.1093/bioadv/vbag212}
}

RIS

TY  - JOUR
TI  - <tt>seqme</tt>
                    : a Python library for evaluating biological sequence design from generative models
AU  - Rasmus Møller-Larsen
AU  - Adam Izdebski
AU  - Jan Olszewski
AU  - Pankhil Gawade
AU  - Michal Kmicikiewicz
AU  - Wojciech Zarzecki
AU  - Ewa Szczurek
PY  - 2026
JO  - Bioinformatics Advances
DO  - 10.1093/bioadv/vbag212
UR  - https://doi.org/10.1093/bioadv/vbag212
ER  -

APA

Møller-Larsen, R., Izdebski, A., Olszewski, J., Gawade, P., Kmicikiewicz, M., Zarzecki, W., & Szczurek, E. (2026). <tt>seqme</tt> : a Python library for evaluating biological sequence design from generative models. Bioinformatics Advances. https://doi.org/10.1093/bioadv/vbag212

Source records

crossref · retrieved 2026-11-10T15:02:52.955Z