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PepTraq: a toolbox for in silico data mining and fast sequence filtering.
Zanuttini, Bruno; Henry, Joël; Couronne, Christophe; Ouali, Abdelkader; Robert, Véronique; Zatylny-Gaudin, Céline.
  • Zanuttini B; Normandie Univ., Unicaen, CNRS UMR 6072, Ensicaen; GREYC, 14 000, Caen, France. bruno.zanuttini@unicaen.fr.
  • Henry J; Laboratoire de Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Université de Caen Normandie, MNHN, SU, UA, CNRS, IRD, 14 000, Caen, France.
  • Couronne C; Normandie Univ., Unicaen, CNRS UMR 6072, Ensicaen; GREYC, 14 000, Caen, France.
  • Ouali A; Normandie Univ., Unicaen, CNRS UMR 6072, Ensicaen; GREYC, 14 000, Caen, France.
  • Robert V; Normandie Univ., Unicaen, CNRS UMR 6072, Ensicaen; GREYC, 14 000, Caen, France.
  • Zatylny-Gaudin C; Laboratoire de Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Université de Caen Normandie, MNHN, SU, UA, CNRS, IRD, 14 000, Caen, France.
Amino Acids ; 55(5): 709-712, 2023 May.
Article en En | MEDLINE | ID: mdl-36884076
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Año: 2023 Tipo del documento: Article