A mew machine learning-based framework for mapping uncertainty analysis in RNA-Seq read alignment and gene expression estimation

August 31, 2018 Leave a comment 4,983 Views

One of the main benefits of using modern RNA-Sequencing (RNA-Seq) technology is the more accurate gene expression estimations compared with previous generations of expression data, such as the microarray. However, numerous issues can result...

Mix2 – simultaneous estimation of transcript abundances and transcript specific fragment distributions of RNA-Seq data

June 10, 2014 Leave a comment 5,345 Views

Quantification of RNA transcripts with RNA-Seq is inaccurate due to positional fragmentation bias, which is not represented appropriately by current statistical models of RNA-Seq data. Another, less investigated, source of error is the inaccuracy of transcript start and end annotations. ...

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A mew machine learning-based framework for mapping uncertainty analysis in RNA-Seq read alignment and gene expression estimation

Mix2 – simultaneous estimation of transcript abundances and transcript specific fragment distributions of 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

Femtosecond laser microdissection for isolation of regenerating C. elegans neurons for single-cell RNA sequencing