Putting machine learning and artificial intelligence to work for correction of sequence-specific bias in RNA-Seq data

February 16, 2017 Leave a comment 5,568 Views

The recent success of deep learning techniques in machine learning and artificial intelligence has stimulated a great deal of interest among bioinformaticians, who now wish to bring the power of deep learning to bare on a host of bioinformatical problems. ...

Understanding and using small RNA-Seq

January 5, 2016 Leave a comment 4,109 Views

David Galas from the Pacific Northwest Diabetes Research Institute presents a seminar on his lab’s efforts, in the context of the Extracellular RNA Communication Consortium (ERCC), to address the problem of sequence-specific bias in small RNA sequencing. This seminar was ...

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Tag Archives: sequence-specific bias

Putting machine learning and artificial intelligence to work for correction of sequence-specific bias in RNA-Seq data

Understanding and using small RNA-Seq

CircAID-p-seq – a PCR-free library preparation for selective 3′ phospho-RNA sequencing

Nanopore ReCappable Sequencing (NRCeq) – a new technique that can identify capped full-length RNAs

CLEARER – a machine learning approach for predicting essential genes across eukaryotes

scRNA-Seq reveals how genetic ancestry shapes immune response to influenza virus

Single-cell RNA sequencing and bioinformatics as tools to decipher cancer heterogenicity and mechanisms of drug resistance

Microwell-seq – high-throughput screening with single-cell transcriptional profiling

Postdoc position available – computational biology: tumour heterogeneity and resistance mechanisms