Exploring COVID-19 pathogenesis on command-line: A bioinformatics pipeline for handling and integrating omics data.

ABSTRACT: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first identified in late 2019 in Wuhan, China, and has proven to be highly pathogenic, making it a global public health threat. The immediate need to understand the mechanisms and impact of the virus made omics techniques stand out, as they can offer a holistic and comprehensive view of thousands of molecules in a single experiment. Mastering bioinformatics tools to process, analyze, integrate, and interpret omics data is a powerful knowledge to enrich results. We present a robust and open access computational pipeline for extracting information from quantitative proteomics and transcriptomics public data. We present the entire pipeline from raw data to differentially expressed genes. We explore processes and pathways related

SUBMITTER: Macedo-da-Silva J 

PROVIDER: S-EPMC9095070 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature