Work

Transformation of alignment files improves performance of variant callers for long-read RNA sequencing data

Year: 2022

Type: article

Abstract: Files generated for the analyses in Souza et al.: "Transformation of alignment files improves performance of variant callers for long-read RNA sequencing data". The code that generated these files are in the repository https://github.com/vladimirsouza/lrRNAseqVariantCalling. The file names are associated with their respective file path defined in the code, where '/' were replaced by '-'. For file descriptions, see file_descriptions.csv file.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.5960320

Authors: Souza, Vladimir, Jordan, Ben, Tseng, Elizabeth, Nelson, Elizabeth, Hirschi, Karen, Sheynkman, Gloria, Robinson, Mark

Institutions: SIB Swiss Institute of Bioinformatics, University of Zurich, Pacific Biosciences (United States), Yale University, University of Virginia Cancer Center, University of Virginia

Language: English

Topic: Genomics and Phylogenetic Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W6950448937

FWCI: 0.163

Cites:

Cited by: 2

Related to: 10