Pythia Biosciences to advance multi-omics analysis with state-of-the-art ML and workflows

“Integrated multi-omics analysis” has become an exciting pillar of bioinformatics in the last few years. Stacking data from multiple “omes” (genomes, epigenomes, transcriptomes, proteomes, metabolomes), this approach enables scientists to have a more complete picture of the biological systems and ...

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Tag Archives: multi-omics integration

Pythia Biosciences to advance multi-omics analysis with state-of-the-art ML and workflows

Optimised RNA extraction method unlocks tough tissues for aquaculture research

dsRID – in silico identification of dsRNA regions using long-read RNA-seq data

FUN-PROSE – predicting the response of fungal genes

Unraveling the timeline of gene expression – a pseudotemporal trajectory analysis of single-cell RNA sequencing data

INVADEseq – cataloging bacterial diversity within tumor samples

RNA sequencing identifies genetic effects of traumatic brain injury using an artificial brain

Researchers develop new method to identify and remove background noise from single cell data