Anoushka Joglekar

The paper develops a machine learning framework to identify cell type-specific gene targets for IBD using a harmonized single-cell atlas and validates them experimentally.

The paper predicts cell-type-specific exon inclusion in human brain cells using RBP binding sites and genomic sequence, revealing more complex splicing mechanisms in neurons than glia.

The paper introduces ScISOr-ATAC to measure splicing and chromatin accessibility in frozen brain tissues, finding convergent and divergent patterns in different cell types and conditions.

The paper analyzes single-cell long-read mRNA isoform regulation across mouse brain regions, cell types, and development, finding pervasive isoform variability and cell-type specific splicing patterns.

This study compares 10x Genomics 3' and 5' assays using short and long reads, finding differences in exonic/intronic capture and transcript completeness.

ScisorWiz visualizes differential isoform expression in single-cell long-read data, highlighting alternative exons and SNVs across cell types and brain regions.

The paper compares error patterns in long-read transcriptomics using Pacific Biosciences and Oxford Nanopore by analyzing cDNA copies of individual RNA molecules.

The paper introduces SnISOr-Seq, a method for single-nuclei isoform RNA sequencing, and finds distinct combination patterns of transcript elements in human brain cell types.

The paper identifies brain-region specific splicing patterns at single-cell and spatial resolution in postnatal mice, revealing cell-type specific and region-specific isoform expression.

The paper introduces ScISOr-Seq, a method combining single-cell full-length cDNA amplification with short-read and long-read sequencing to identify isoforms in cerebellar cell types across thousands of cells.