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Random RNA-Seq Bioinformatics Toolsreport

  • XORRO Rapid Paired-End Read Overlapper.

    (Improving the quality) (Quality control, trimming, error correction and pre-processing of data)

  • svaseq removing batch effects and other unwanted noise from sequencing data.

    (Improving the quality) (Quality control, trimming, error correction and pre-processing of data)

  • FineSplice Enhanced splice junction detection and estimation from RNA-Seq data.

    (General tools) (Normalization, quantitative analysis and differential expression)

  • Flipflop FlipFlop implements a fast method for de novo transcript discovery and abundance estimation from RNA-Seq data. It differs from Cufflinks by simultaneously performing the identification and quantitation tasks using a convex penalized maximum likelihood approach, which leads to improved precision/recall.

    (Genome-guided assemblers) (Transcriptome assemblers)

  • Busco provides quantitative measures for the assessment of genome assembly, gene set, and transcriptome completeness, based on evolutionarily-informed expectations of gene content from near-universal single-copy orthologs selected from OrthoDB tool.

    (Assembly evaluation tools) (Transcriptome assemblers)

  • Brain RNA-Seq An RNA-Seq transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex.

    (Human related) (RNA-Seq databases)

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About This Tool

RNA-seq, or transcriptome sequencing, is the high-throughput sequencing of mRNA, small RNA, and NONcoding RNA, or some of them, to reflect their level of expression. A transcriptome is a collection of all transcripts produced by a particular species or cell type.

Transcriptome studies can study the function and structure of genes at a holistic level, and reveal the molecular mechanisms underlying specific biological processes and disease processes, it has been widely used in basic research, clinical diagnosis and drug research and development. The 509 entries generated by the random tool record various areas of application of the RNA-seq technology, including design, quality control, other application equipment, etc.

Click the "Display All Items" button and you will get a list of RNA-Seq bioinformatics tools.

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