EventsMOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Event submissions
Published
with-doi10.3390/mol2net-08-12444
This submission belongs to the session 01. CHEMBIO.INFO-08: Cheminfo., Chemom., Comput. Chem. & Bioinfo., Congress München, GR-Cambridge, UK-Ch. Hill, USA, 2022. of the event MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published date
23 Mar, 2022
Academic Editor
author-avatarHumbert G. Díaz
Citation
Luisa Chocarro, Ester Blanco, Hugo Arasanz, Leticia Fernández Rubio, Ana Bocanegra, Miriam Echaide, Maider Garnica, Pablo Ramos, Enrique Santamaría, Joaquín Fernández Irigoyen, Grazyna Kochan, David Escors, Bioinformatic tools for proteomic data analysis, in Proceedings of MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed., 1 January–15 January 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-08-12444
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Bioinformatic tools for proteomic data analysis

Luisa Chocarro 1
Ester Blanco 2,3
Hugo Arasanz 2,4
Leticia Fernández Rubio 2
Ana Bocanegra 2
Miriam Echaide 2
Maider Garnica 2
Pablo Ramos 2
image
Enrique Santamaría 5
Joaquín Fernández Irigoyen 6
Grazyna Kochan 2
David Escors 2
1. OncoImmunology Unit, Navarrabiomed-Fundacion Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Navarra, Spain, Spain
2. OncoImmunology Unit, Navarrabiomed-Fundacion Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Navarra, Spain
3. Division of Gene Therapy and Regulation of Gene Expression, Cima Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
4. Medical Oncology Unit, Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Navarra, Spain
5. Clinical Neuroproteomics Unit, Navarrabiomed-Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
6. Proteomics Platform, Navarrabiomed-Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
Abstract

Quantitative proteomics research has demonstrated to be essential to understand how biological systems work at a molecular level. However, the bioinformatic analysis and processing of this enormous amount of data for meaningful biological and functional interpretation remains to be challenging. Here, we will discuss various current standardized methods and strategies for bioinformatic analysis, and we will highlight some available software programs, computational tools, and meta-analysis resources for proteomic data analysis.

Keywords
proteomics
bioinformatics
molecular biology
data analysis
Poster
MOL2NET'22 Chocarro bioinf.pdf
MOL2NET'22 Chocarro bioinf.pdf
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