Mining the complexity of host-pathogen interactions from dual RNA-Seq short time series on Neisseria gonorrhoeae infection models

Caselle, Michele; Carello, Stefano

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Università degli Studi di Torino

Mining the complexity of host-pathogen interactions from dual RNA-Seq short time series on Neisseria gonorrhoeae infection models

dc:creator Caselle, Michele; Carello, Stefano

dc:date2022

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Grantor dc:publisher: Università degli Studi di Torino
Year dc:date: 2022

Author and committee

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Authors dc:creator: Caselle, Michele
Carello, Stefano

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Settore BIO/11 - Biologia Molecolare

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Statement dc:rights: info:eu-repo/semantics/openAccess
Language dc:language: eng

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Handle dc:identifier: https://hdl.handle.net/2318/2017178
OAI record oai:identifier: https://iris.unito.it/oai/driver?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Airis.unito.it%3A2318%2F2017178

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Harvested from: Università di Torino
Base URL: iris.unito.it/oai/driver
Last updated: 2026-07-24
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Caselle, Michele; Carello, Stefano. Mining the complexity of host-pathogen interactions from dual RNA-Seq short time series on Neisseria gonorrhoeae infection models. Università degli Studi di Torino, 2022. https://hdl.handle.net/2318/2017178

Mining the complexity of host-pathogen interactions from dual RNA-Seq short time series on Neisseria gonorrhoeae infection models

Degree

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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