DEMINERS enables clinical metagenomics and comparative transcriptomic analysis by increasing throughput and accuracy of nanopore direct RNA sequencing - Song, Junwei; Lin, Li-an; Tang, Chao; Chen, Chuan; Yang, Qingxin; Zhang, Dan; Zhao, Yuancun; Wei, Han-cheng; Linghu, Kepan; Xu, Zijie; Chen, Tingfeng; He, Zhifeng; et al. (Genome Biology, 2025)
Keywords: Accuracy; Algorithms; Animal Genetics and Genomics; Bar codes; Basecalling; Bioinformatics; Biomedical and Life Sciences; Cancer; Classification; COVID-19; COVID-19 - genetics; COVID-19 - virology; COVID-19 infection; Datasets; Demultiplex; Evolutionary Biology; Gene Expression Profiling - methods; genome; Genomes; glioma; Human Genetics; Humans; Life Sciences; Machine learning; malaria; Metagenomics; Metagenomics - methods; Methodology; Microbial Genetics and Genomics; Microbiota; Microorganisms; Nanopore direct RNA sequencing; Nanopore Sequencing - methods; Nanopores; Neural networks; Plant Genetics and Genomics; RNA; RNA modification; SARS-CoV-2 - genetics; Sequence Analysis, RNA - methods; Software; Transcriptome; Transcriptomics; Viruses; Basecalling; RNA modification; Demultiplex; Nanopore direct RNA sequencing; Machine learning