SEQUIN is an R/Shiny framework for rapid and reproducible analysis of RNA-seq data

Author:

Weber Claire,Hirst Marissa B.,Ernest Ben,Schaub Nicholas J.,Wilson Kelli M.,Wang Ke,Baskir Hannah M.ORCID,Chu Pei-Hsuan,Tristan Carlos A.,Singeç Ilyas

Publisher

Elsevier BV

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Genetics,Biochemistry, Genetics and Molecular Biology (miscellaneous),Biochemistry,Biotechnology

Reference30 articles.

1. Comparative analysis of commercially available single-cell RNA sequencing platforms for their performance in complex human tissues;Wang;bioRxiv,2019

2. Computational strategies for single-cell multi-omics integration;Adossa;Comput. Struct. Biotechnol. J.,2021

3. Current RNA-seq methodology reporting limits reproducibility;Simoneau;Brief. Bioinform.,2021

4. The reproducibility crisis in the age of digital medicine;Stupple;NPJ Digit. Med.,2019

5. Gene expression analysis of combined RNA-seq experiments using a receiver operating characteristic calibrated procedure;Jeng;Comput. Biol. Chem.,2021

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