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Biography

Daniela Evangelista achieved a degree with honors in Computer Science at University of Naples “Federico II” and a PhD in Computational Biology at University of Campania “L. Vanvitelli”.
She took up her activity at the CNR on 2011, firstly at the Institute for Computation Applications (CNR/IAC) of Naples by working on the implementation of statistical methods for the analysis of Next Generation Sequencing (NGS) data. Then, in collaboration with Oncology Research Center of Mercogliano (CROM) – (Avellino), she worked on a development of an automatic decision support system for identifying the diagnosis and prognosis of oncological and chronic metabolic diseases.Afterwards, with Post-doctoral fellowships, at the Institute for High Performance Computing and Networking (CNR-ICAR) of Naples, she worked on designing and developing of (web and stand-alone) software tools, as well as, databases for the collection, integration and analysis of omics (DNA-seq, RNA-seq), clinical and experimental data. Since 2022 she is a Research Scientist at the Institute of Food Science (CNR/ISA) hosted in Avellino and she deals with development and application of bioinformatics software tools for the study of food-related diseases and on their data-analysis by using Machine Learning methods.

Activities

Employment (1)

National Research Council: Avellino, IT

Research Scientist
Employment
Source: Self-asserted source
DANIELA EVANGELISTA

Education and qualifications (2)

University of Naples Federico II: Naples, Campania, IT

MSc achieved with 110/110 (Computer Science)
Education
Source: Self-asserted source
DANIELA EVANGELISTA

University of Campania "Luigi Vanvitelli": Caserta, IT

PhD in Computational Biology
Education
Source: Self-asserted source
DANIELA EVANGELISTA

Works (10)

Towards Integrating Information Systems of Statistical Indicators on Traceability, Quality and Safety of Italian Agrifood Systems for Citizens, Institutions and Policy-Makers

Sustainability
2024-07 | Journal article | Author
Contributors: Gianni Betti; DANIELA EVANGELISTA; francesca gagliardi; Emanuele Giordano; Angelo RICCABONI
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 3)‎

A mixed integer programming-based global optimization framework for analyzing gene expression data

Journal of Global Optimization
2017 | Journal article
EID:

2-s2.0-85019119128

Part of ISSN: 15732916 09255001
Contributors: Felici, G.; Tripathi, K.P.; Evangelista, D.; Guarracino, M.R.
Source: Self-asserted source
DANIELA EVANGELISTA via Scopus - Elsevier

A web resource on skeletal muscle transcriptome of primates

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016 | Conference paper
EID:

2-s2.0-84981172828

Part of ISBN: 9783319443317
Part of ISSN: 16113349 03029743
Contributors: Evangelista, D.; Avino, M.; Tripathi, K.P.; Guarracino, M.R.
Source: Self-asserted source
DANIELA EVANGELISTA via Scopus - Elsevier

A web-oriented software for the optimization of pooled experiments in NGS for detection of rare mutations Bioinformatics

BMC Research Notes
2016 | Journal article
EID:

2-s2.0-84958825085

Part of ISSN: 17560500
Contributors: Evangelista, D.; Zuccaro, A.; Lančinskas, A.; Žilinskas, J.; Guarracino, M.R.
Source: Self-asserted source
DANIELA EVANGELISTA via Scopus - Elsevier

An atlas of annotations of hydra vulgaris transcriptome

BMC Bioinformatics
2016 | Journal article
EID:

2-s2.0-84992200279

Part of ISSN: 14712105
Contributors: Evangelista, D.; Tripathi, K.P.; Guarracino, M.R.
Source: Self-asserted source
DANIELA EVANGELISTA via Scopus - Elsevier

HvD base: A web resource on hydra vulgaris transcriptome

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015 | Conference paper
EID:

2-s2.0-84925256199

Part of ISBN: 9783319164793
Part of ISSN: 16113349 03029743
Contributors: Evangelista, D.; Tripathi, K.P.; Scuotto, V.; Guarracino, M.R.
Source: Self-asserted source
DANIELA EVANGELISTA via Scopus - Elsevier

Transcriptator: An automated computational pipeline to annotate assembled reads and identify non coding RNA

PLoS ONE
2015 | Journal article
EID:

2-s2.0-84957571308

Part of ISSN: 19326203
Contributors: Tripathi, K.P.; Evangelista, D.; Zuccaro, A.; Guarracino, M.R.
Source: Self-asserted source
DANIELA EVANGELISTA via Scopus - Elsevier

Transcriptator: Computational pipeline to annotate transcripts and assembled reads from RNA-seq data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015 | Conference paper
EID:

2-s2.0-84949998069

Part of ISBN: 9783319244617
Part of ISSN: 16113349 03029743
Contributors: Tripathi, K.P.; Evangelista, D.; Cassandra, R.; Guarracino, M.R.
Source: Self-asserted source
DANIELA EVANGELISTA via Scopus - Elsevier

Analysis of expression on human chromosome 21, ALE-HSA21: A pilot integrated web resource

Database
2014 | Journal article
EID:

2-s2.0-84906546336

Part of ISSN: 17580463
Contributors: Scarpato, M.; Esposito, R.; Evangelista, D.; Aprile, M.; Ambrosio, M.R.; Angelini, C.; Ciccodicola, A.; Costa, V.
Source: Self-asserted source
DANIELA EVANGELISTA via Scopus - Elsevier

CDMS (Clinical Data Mining Software): a cytokinome data mining system for a predictive medicine of chronic inflammatory diseases.

Protein engineering, design & selection : PEDS
2010-10-01 | Journal article
Contributors: DANIELA EVANGELISTA; G. Colonna; M. Miele; F. Cutugno; G. Castello; S. Desantis; S. Costantini
Source: Self-asserted source
DANIELA EVANGELISTA