Improving genome annotations with RNA-seq data: a scalable and reproducible workflow for Transcripts And Genes Assembly, Deconvolution, Analysis (TAGADA). - Archive ouverte HAL Access content directly
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Improving genome annotations with RNA-seq data: a scalable and reproducible workflow for Transcripts And Genes Assembly, Deconvolution, Analysis (TAGADA).

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Cyril Kurylo
  • Function : Author
  • PersonId : 1214803
Génétique Physiologie et Systèmes d'Elevage
Cervin Guyomar
Génétique Physiologie et Systèmes d'Elevage
Sarah Djebali
  • Function : Author
  • PersonId : 1098306
Institut de Recherche en Santé Digestive
Sylvain Foissac
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Génétique Physiologie et Systèmes d'Elevage

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Computer Science [cs] Bioinformatics [q-bio.QM]
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https://hal.inrae.fr/hal-03936482

Submitted on : Thursday, January 12, 2023-4:15:34 PM

Last modification on : Tuesday, January 17, 2023-4:16:13 PM

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hal-03936482 , version 1 (12-01-2023)

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  • HAL Id : hal-03936482 , version 1

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Cyril Kurylo, Cervin Guyomar, Sarah Djebali, Sylvain Foissac. Improving genome annotations with RNA-seq data: a scalable and reproducible workflow for Transcripts And Genes Assembly, Deconvolution, Analysis (TAGADA).. ECCB 2022, Sep 2022, Sitges (Barcelona), France. ⟨hal-03936482⟩

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INRAE GENETIQUE_ANIMALE IRSD GENPHYSE INRAEOCCITANIETOULOUSE MICA-UNITES TOULOUSE-INP UNIV-UT3 UT3-TOULOUSEINP
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