Skip to main content
Log in

PepTraq: a toolbox for in silico data mining and fast sequence filtering

  • Brief Report
  • Published:
Amino Acids Aims and scope Submit manuscript

Abstract

The development of de novo sequencing tools has led to the massive production of genomes and transcriptomes from many unconventional animal models. To tackle this huge flow of data, PepTraq brings together many functionalities generally scattered in multiple tools, so that sequences can be filtered on the basis of multiple criteria. It is particularly suitable for the identification of non-annotated transcripts, re-annotation, extraction of secretomes, neuropeptidomes, targeted search for peptides and proteins, preparing specific proteomics/peptidomics fasta files for mass spectrometry (MS) applications, MS data processing, etc. PepTraq is developed in Java, and is available as a desktop application that can be downloaded from https://peptraq.greyc.fr. It is also available as a web application at the same URL for processing small files (10–20 MB). The source code is open under a CeCILL-B licence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Data availability

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Notes

  1. http://emboss.open-bio.org.

References

Download references

Funding

This work was partially supported by the région Basse-Normandie (France) as part of Projet Émergent n°16E00790/16P03508.

Author information

Authors and Affiliations

Authors

Contributions

BZ, JH, and CZ-G imagined the tool described in the article and its precise functionalities. BZ is the main developer of this tool. CC developed the online version, AO added functionalities to the desktop version, and VR supervised part of the development. All authors reviewed the manuscript.

Corresponding author

Correspondence to Bruno Zanuttini.

Ethics declarations

Conflict of interest

The authors declare no financial or nonfinancial interest.

Additional information

Handling editor: D. Frishman.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zanuttini, B., Henry, J., Couronne, C. et al. PepTraq: a toolbox for in silico data mining and fast sequence filtering. Amino Acids 55, 709–712 (2023). https://doi.org/10.1007/s00726-023-03251-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00726-023-03251-y

Keywords

Navigation