TACO – a computational method to reconstruct a consensus transcriptome from multiple RNA-seq data sets

November 23, 2016 Leave a comment 6,680 Views

Accurate transcript structure and abundance inference from RNA sequencing (RNA-seq) data is foundational for molecular discovery. Here researchers from the University of Michigan present a new meta-assembly method, Transcriptome Assemblies Combined into One (TACO), as a robust solution for leveraging the ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: TACO

TACO – a computational method to reconstruct a consensus transcriptome from multiple RNA-seq data sets

SHERRY2 – a specifically optimized protocol for scRNA-seq without second strand cDNA synthesis

Quality control recommendations for RNASeq using FFPE samples

HTCA – a database with an in-depth characterization of the single-cell human transcriptome

Study shows that meta-analysis of RNA-Seq data is robust, finds key changes in AD

Improving an rRNA depletion protocol with statistical design of experiments

SECANT – a biology-guided semi-supervised method for clustering, classification, and annotation of single-cell multi-omics

SCAFG – classifying single cell types based on an adaptive threshold fusion graph convolution network