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scCCTR: An iterative selection-based semi-supervised clustering model for single-cell RNA-seq data. [PDF]
Chen J, Sun Q, Wang C, Gao C.
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scMUG: deep clustering analysis of single-cell RNA-seq data on multiple gene functional modules. [PDF]
Liang DM, Du PF.
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Integrative Analysis of ATAC-Seq and RNA-Seq Identifies Key Genes Affecting Muscle Development in Ningxiang Pigs. [PDF]
Tan W+9 more
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Bayesian identification of differentially expressed isoforms using a novel joint model of RNA-seq data. [PDF]
Shi X+6 more
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RNA-Seq UD: A bioinformatics plattform for RNA-Seq analysis
2015 10th Iberian Conference on Information Systems and Technologies (CISTI), 2015In this work is presented a process of design and building of a software that gather the tools required for a RNA-Seq data bioinformatics research. From the proposed a workflow is proposed that represents all a process that goes through the main stages of the treatment of transcriptomic and next generation sequencing data, such as preprocessing ...
Miguel A. RamÃrez+2 more
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With a modified polymerase and optimized oligonucleotide chemistry, Helicos' single-molecule sequencer takes on RNA.
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2021
RNA-Seq is nowadays an indispensable approach for comparative transcriptome profiling in model and nonmodel organisms. Analyzing RNA-Seq data from nonmodel organisms poses unique challenges, due to unavailability of a high-quality genome reference and to relative sparsity of tools for downstream functional analyses.
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RNA-Seq is nowadays an indispensable approach for comparative transcriptome profiling in model and nonmodel organisms. Analyzing RNA-Seq data from nonmodel organisms poses unique challenges, due to unavailability of a high-quality genome reference and to relative sparsity of tools for downstream functional analyses.
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Nature Biotechnology, 2011
A transcriptome can be readily assembled from RNA-Seq data in the absence of a reference genome.
Matthew K. Iyer, Arul M. Chinnaiyan
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A transcriptome can be readily assembled from RNA-Seq data in the absence of a reference genome.
Matthew K. Iyer, Arul M. Chinnaiyan
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