Qualimap 2 – advanced multi-sample quality control for high-throughput sequencing data

October 28, 2015 Leave a comment 4,475 Views

Detection of random errors and systematic biases is a crucial step of a robust pipeline for processing high-throughput sequencing (HTS) data. Bioinformatics software tools capable of performing this task are available, either for general analysis of HTS data or targeted ...

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Qualimap 2 – advanced multi-sample quality control for high-throughput sequencing data

spSeudoMap – cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data

SoCube – an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data

Quantabio adds powerful bead booster chemistry to ultra-fast sparQ RNA-Seq HMR kit

SiT – spatial isoform transcriptomics

Analysis of single-cell rna-seq data

AllenDigger – spatial expression data visualization, spatial heterogeneity delineation, and single-cell registration based on the Allen Brain Atlas

New research identifies an inaccuracy in the single cell GENCODE gene model