Back to search

Article

GEGVIC: A workflow to analyze Gene Expression, Genetic Variations and Immune cell Composition of tumor samples using Next Generation Sequencing data

2025-01-13

Abstract excerpt

<title>Abstract</title> <p>Background. The application of next-generation sequencing techniques for genome and transcriptome profiling is to build the main source of data for cancer research. Hundreds of bioinformatic pipelines have been developed to handle the data generated by these technologies, but their use often requires specialized expertise in data wrangling and analysis that limit many biomedical resear...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7a95e8fe-cf9c-5fd8-af5e-92a2ddef65f6
DOI
10.21203/rs.3.rs-5797161/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
GEGVIC: A workflow to analyze Gene Expression, Genetic Variations and Immune cell Composition of tumor samples using Next Generation Sequencing dataDOI 10.21203/rs.3.rs-5797161/v1
Select a neighboring publication to make it the new centre.