TRAPID : an efficient online tool for the functional and comparative analysis of de novo RNA-Seq transcriptomes

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Genome Biology 14 (2013) R134 DOI: 10.1186/gb-2013-14-12-r134
Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe ; 900

Event: Veröffentlichung

(where): Potsdam

(who): Universität Potsdam

(when): 2020

Creator: Van Bel, Michiel
Proost, Sebastian
Van Neste, Christophe
Deforce, Dieter
Van de Peer, Yves
Vandepoele, Klaas

URN: urn:nbn:de:kobv:517-opus4-436409

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:02 AM CEST

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Associated

Van Bel, Michiel
Proost, Sebastian
Van Neste, Christophe
Deforce, Dieter
Van de Peer, Yves
Vandepoele, Klaas
Universität Potsdam

Time of origin

2020

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How deep is deep enough for RNA-Seq profiling of bacterial transcriptomes?

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TRAPID: an efficient online tool for the functional and comparative analysis of de novoRNA-Seq transcriptomes

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SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data

Optimizing de novo assembly of short-read RNA-seq data for phylogenomics

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TRAPID : an efficient online tool for the functional and comparative analysis of de novo RNA-Seq transcriptomes

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Other Objects (12)

Efficient and robust RNA-seq process for cultured bacteria and complex community transcriptomes

Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes

How deep is deep enough for RNA-Seq profiling of bacterial transcriptomes?

MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data

TRAPID: an efficient online tool for the functional and comparative analysis of de novoRNA-Seq transcriptomes

Evaluation of de novo transcriptome assemblies from RNA-Seq data

Discovery of novel transcripts and gametophytic functions via RNA-seq analysis of maize gametophytic transcriptomes

RNA-Seq reveals large quantitative differences between the transcriptomes of outbreak and non-outbreak locusts

De novo transcriptome assembly of RNA-Seq reads with different strategies

SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data

Optimizing de novo assembly of short-read RNA-seq data for phylogenomics

Impact of sequencing depth and technology on de novo RNA-Seq assembly

Efficient and robust RNA-seq process for cultured bacteria and complex community transcriptomes

Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes

How deep is deep enough for RNA-Seq profiling of bacterial transcriptomes?

MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data

TRAPID: an efficient online tool for the functional and comparative analysis of de novoRNA-Seq transcriptomes

Evaluation of de novo transcriptome assemblies from RNA-Seq data

Discovery of novel transcripts and gametophytic functions via RNA-seq analysis of maize gametophytic transcriptomes

RNA-Seq reveals large quantitative differences between the transcriptomes of outbreak and non-outbreak locusts

De novo transcriptome assembly of RNA-Seq reads with different strategies

SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data

Optimizing de novo assembly of short-read RNA-seq data for phylogenomics

Impact of sequencing depth and technology on de novo RNA-Seq assembly

Efficient and robust RNA-seq process for cultured bacteria and complex community transcriptomes

Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes

How deep is deep enough for RNA-Seq profiling of bacterial transcriptomes?

MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data

TRAPID: an efficient online tool for the functional and comparative analysis of de novoRNA-Seq transcriptomes

Evaluation of de novo transcriptome assemblies from RNA-Seq data

Discovery of novel transcripts and gametophytic functions via RNA-seq analysis of maize gametophytic transcriptomes

RNA-Seq reveals large quantitative differences between the transcriptomes of outbreak and non-outbreak locusts

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SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data

Optimizing de novo assembly of short-read RNA-seq data for phylogenomics

Impact of sequencing depth and technology on de novo RNA-Seq assembly

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