Using artificial intelligence to document the hidden RNA virosphere
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#ArtificialIntelligence #RNAvirosphere #Bioinformatics #ViralResearch #ScientificInnovation
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#ArtificialIntelligence #RNAvirosphere #Bioinformatics #ViralResearch #ScientificInnovation
Cell
Using artificial intelligence to document the hidden RNA virosphere
A deep learning algorithm (LucaProt) that integrates both sequence and predicted structural
information was employed to identify highly divergent RNA viral “dark matter” in 10,487
metatranscriptomes from diverse global ecosystems. A total of 161,979 potential…
information was employed to identify highly divergent RNA viral “dark matter” in 10,487
metatranscriptomes from diverse global ecosystems. A total of 161,979 potential…
Researchers have developed a new computational method, a machine learning-based algorithm, to interpret complex single-cell data. The method, called Coralysis, helps researchers identify and group cell types across samples and is available as an open-source software. 🧬🔍💻
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#Coralysis #MachineLearning #SingleCellAnalysis #OpenSource #Bioinformatics
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#Coralysis #MachineLearning #SingleCellAnalysis #OpenSource #Bioinformatics
www.utu.fi
New computational tool helps scientists interpret complex single-cell data
Researchers from Turku Bioscience Centre at the University of Turku, Finland, have developed a new computational method to interpret complex single-cell data.
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Genetic 🧬 relationships between the gut microbiota 🦠 and prostate cancer: Mendelian 🧬 randomization 🔬 combined with bioinformatics analysis 💡
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#GutMicrobiota #ProstateCancer #MendelianRandomization #Bioinformatics #Genomics
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#GutMicrobiota #ProstateCancer #MendelianRandomization #Bioinformatics #Genomics
PubMed
Genetic relationships between the gut microbiota and prostate cancer: Mendelian randomization combined with bioinformatics analysis…
This study indicates that there are causal links between the gut microbiota and PCa. Feature genes may affect the occurrence of PCa by inhibiting the epithelial-mesenchymal transition, proliferation, migration, and invasion of cells.
An artificial intelligence model trained on biological data has demonstrated the ability to generate novel synthetic DNA sequences from scratch.
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#AIDNA #SyntheticBiology #GenomicsInnovation #Bioinformatics #FutureOfBiotech
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#AIDNA #SyntheticBiology #GenomicsInnovation #Bioinformatics #FutureOfBiotech
Nature
AI can write genomes — how long until it creates synthetic life?
Nature - The Evo2 genomic language model can generate short genome sequences, but scientists say further advances are needed to write genomes that will work inside living cells.
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