Statistical detection of regulated alternative splicing from single-cell RNA-seq data (BARC 2020)

Statistical detection of regulated alternative splicing from single-cell RNA-seq data (BARC 2020)

Alternative splicing in single cell RNA-seq data - Marie Van Hecke - RegSys - Poster - ISMB 2022Подробнее

Alternative splicing in single cell RNA-seq data - Marie Van Hecke - RegSys - Poster - ISMB 2022

Linda Szabo, Statistical discovery of circular and linear RNA splicingПодробнее

Linda Szabo, Statistical discovery of circular and linear RNA splicing

RNA sequencing of Alzheimer brain sample using long reads reveals complex alternative splicingПодробнее

RNA sequencing of Alzheimer brain sample using long reads reveals complex alternative splicing

RNA Collaborative - Bay Area RNA Club (BARC), May 4, 2022Подробнее

RNA Collaborative - Bay Area RNA Club (BARC), May 4, 2022

Analysis workflow for single-cell RNA-sequencing dataПодробнее

Analysis workflow for single-cell RNA-sequencing data

Single-cell characterization of transcript isoforms with long-read RNA sequencing, Rui ChenПодробнее

Single-cell characterization of transcript isoforms with long-read RNA sequencing, Rui Chen

Exploring scQuint alternative splicing results with UCSC Genome Browser and cellxgeneПодробнее

Exploring scQuint alternative splicing results with UCSC Genome Browser and cellxgene

Using machine learning methods to explore... - Catherine Zhou - iRNA - Abstract - ISMB 2022Подробнее

Using machine learning methods to explore... - Catherine Zhou - iRNA - Abstract - ISMB 2022

2018 STAT115 Lect 8.2. RNA-seq Alternative SplicingПодробнее

2018 STAT115 Lect 8.2. RNA-seq Alternative Splicing

3D RNAseq App: differential expression and alternative splicingПодробнее

3D RNAseq App: differential expression and alternative splicing

Single-cell sequencing explained in 2 minutesПодробнее

Single-cell sequencing explained in 2 minutes

Introduction to single-cell RNA-Seq and Seurat | Bioinformatics for beginnersПодробнее

Introduction to single-cell RNA-Seq and Seurat | Bioinformatics for beginners

MOCCASIN: A method for correcting known and unknown confounders in RNA-Seq-based splicing analysisПодробнее

MOCCASIN: A method for correcting known and unknown confounders in RNA-Seq-based splicing analysis

Validating single-cell RNA-seq data using Single-Cell Western blotting and RNAscope® technologyПодробнее

Validating single-cell RNA-seq data using Single-Cell Western blotting and RNAscope® technology

Unbiased Identification of Spliceosome Vulnerabilities Across CancerПодробнее

Unbiased Identification of Spliceosome Vulnerabilities Across Cancer

Automated interpretation of single-cell RNA-seq data using reference atlasesПодробнее

Automated interpretation of single-cell RNA-seq data using reference atlases

Новости