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Literature 同步
  • 16s
  • A_needRead
  • alignment
  • b_bulkRNA-seq
    • alternative splicing
    • assembly
    • bulkRNA-seq article
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  • b_scRNA-seq
    • cell type annotation
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  • metagenomic
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      • databases
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    • Quantification
      • 16S
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    • Transcriptomics Metabolomics
  • tools
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  • Genome-Wide Analysis of Yeast Metabolic Cycle through Metabolic Network Models Reveals Superiority of Integrated ATAC-seq Data over RNA-seq Data


  • Ultrafast and memory-efficient alignment of short DNA sequences to the human genome


  • Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown


  • Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation


  • TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions


  • TopHat: discovering splice junctions with RNA-Seq


  • The Sequence Alignment/Map format and SAMtools


  • Statistical relevance—relevant statistics, part I


  • STAR: ultrafast universal RNA-seq aligner


  • Salmon provides fast and bias-aware quantification of transcript expression


  • RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome


  • RNA-seq differential expression studies: more sequence or more replication?


  • RNA-Seq differential expression analysis: An extended review and a software tool


  • Next-generation transcriptome assembly


  • Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2


  • Misuse of RPKM or TPM normalization when comparing across samples and sequencing protocols


  • Integration of quantitated expression estimates from polyA-selected and rRNA-depleted RNA-seq libraries


  • Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype


  • Gaining comprehensive biological insight into the transcriptome by performing a broad-spectrum RNA-seq analysis


  • featureCounts: an efficient general purpose program for assigning sequence reads to genomic features


  • Fast and accurate short read alignment with Burrows-Wheeler transform


  • Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks


  • Coupling mRNA processing with transcription in time and space


  • Computational methods for transcriptome annotation and quantification using RNA-seq


  • Comprehensive comparative analysis of strand-specific RNA sequencing methods


  • Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling


  • A game changer for bipolar disorder diagnosis using RNA editing-based biomarkers


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