Machine learning tool predicts peptides’ potential as immune activators from RNA-Seq data

October 25, 2018 Leave a comment 2,503 Views

A deep neural network algorithm called BOTA uses bacterial genomes to identify unrecognized bacterial antigens. The immune system keeps T cells under...

TranscriptCoder – Proteomic validation of transcript isoforms, including those assembled from RNA-Seq data

May 14, 2015 Leave a comment 3,761 Views

Human proteome analysis now requires an understanding of protein isoforms. Researchers from the University of New South Wales explore how RNA-seq transcriptomics data, and proteomic analysis of the same sample, can identify protein isoforms. RNA-seq data from human mesenchymal (hMSC) ...

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Tag Archives: peptides

Machine learning tool predicts peptides’ potential as immune activators from RNA-Seq data

TranscriptCoder – Proteomic validation of transcript isoforms, including those assembled from RNA-Seq data

BoT-Net – a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction

Unearthing novel fusions as therapeutic targets in solid tumors using targeted RNA sequencing

Kassandra – precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes

RNA Sequencing identifies potential targets for treating a common type of chronic, non-healing wound

Kyoto scientists use mathematics to extract clear signals from single-cell RNA sequencing data

SMaSH – a scalable, general marker gene identification framework for single-cell RNA-sequencing

PlaqView 2.0 – A comprehensive web portal for cardiovascular single-cell genomics