NGS data analysis approaches for clinical applications

IGOR SAGGESE

doi:10.20373/uniupo/openthesis/86924

NGS data analysis approaches for clinical applications

IGOR SAGGESE

Research output: Types of Thesis › Doctoral Thesis

Original language	English
Awarding Institution	Universita' degli Studi del Piemonte Orientale "Amedeo Avogadro"
Supervisors/Advisors	MIGNONE, Flavio, Supervisor
DOIs	https://doi.org/10.20373/uniupo/openthesis/86924
Publication status	Published - 2017
Externally published	Yes

Keywords

Bioinformatics
NGS
RNA-seq
de-novo assembly
metatranscriptomics
molecular diagnostics

Italian classification of scientific disciplines

BIO/11 - Molecular biology

Access to Document

10.20373/uniupo/openthesis/86924

http://hdl.handle.net/11579/86924

Cite this

@phdthesis{b6a5dc5fbeda496aaa85a7d7e3e95bed,

title = "NGS data analysis approaches for clinical applications",

keywords = "Bioinformatics, NGS, RNA-seq, de-novo assembly, metatranscriptomics, molecular diagnostics, Bioinformatics, NGS, RNA-seq, de-novo assembly, metatranscriptomics, molecular diagnostics",

author = "IGOR SAGGESE",

year = "2017",

doi = "10.20373/uniupo/openthesis/86924",

language = "English",

school = "Universita' degli Studi del Piemonte Orientale {"}Amedeo Avogadro{"}",

}

TY - BOOK

T1 - NGS data analysis approaches for clinical applications

AU - SAGGESE, IGOR

PY - 2017

Y1 - 2017

KW - Bioinformatics

KW - NGS

KW - RNA-seq

KW - de-novo assembly

KW - metatranscriptomics

KW - molecular diagnostics

KW - Bioinformatics

KW - NGS

KW - RNA-seq

KW - de-novo assembly

KW - metatranscriptomics

KW - molecular diagnostics

UR - https://iris.uniupo.it/handle/11579/86924

U2 - 10.20373/uniupo/openthesis/86924

DO - 10.20373/uniupo/openthesis/86924

M3 - Doctoral Thesis

ER -

NGS data analysis approaches for clinical applications

Keywords

Italian classification of scientific disciplines

Access to Document

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Cite this