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InteractomeSeq: a web server for the identification and profiling of domains and epitopes from phage display and next generation sequencing data

Puccio, Simone
•
Grillo, Giorgio
•
Consiglio, Arianna
altro
Licciulli, Flavio
2020
  • journal article

Periodico
NUCLEIC ACIDS RESEARCH
Abstract
High-Throughput Sequencing technologies are transforming many research fields, including the analysis of phage display libraries. The phage display technology coupled with deep sequencing was introduced more than a decade ago and holds the potential to circumvent the traditional laborious picking and testing of individual phage rescued clones. However, from a bioinformatics point of view, the analysis of this kind of data was always performed by adapting tools designed for other purposes, thus not considering the noise background typical of the 'interactome sequencing' approach and the heterogeneity of the data. InteractomeSeq is a web server allowing data analysis of protein domains ('domainome') or epitopes ('epitome') from either Eukaryotic or Prokaryotic genomic phage libraries generated and selected by following an Interactome sequencing approach. InteractomeSeq allows users to upload raw sequencing data and to obtain an accurate characterization of domainome/epitome profiles after setting the parameters required to tune the analysis. The release of this tool is relevant for the scientific and clinical community, because InteractomeSeq will fill an existing gap in the field of large-scale biomarkers profiling, reverse vaccinology, and structural/functional studies, thus contributing essential information for gene annotation or antigen identification. InteractomeSeq is freely available at https://InteractomeSeq.ba.itb.cnr.it/
DOI
10.1093/nar/gkaa363
WOS
WOS:000562474100030
Archivio
http://hdl.handle.net/11368/3028644
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85087321272
https://academic.oup.com/nar/article/48/W1/W200/5836767?login=true
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/3028644/1/2020_Puccio-et-al_NAR.pdf
Soggetti
  • Bacteriophage

  • Internet

  • Cell Surface Display ...

  • Epitope

  • High-Throughput Nucle...

  • Protein Domain

  • Software

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