A scalable and memory-efficient algorithm for de novo transcriptome assembly of non-model organisms

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2164

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: A scalable and memory-efficient algorithm for de novo transcriptome assembly of non-model organisms ; volume:18 ; number:4 ; day:24 ; month:5 ; year:2017 ; pages:1-11 ; date:5.2017
BMC genomics ; 18, Heft 4 (24.5.2017), 1-11, 5.2017

Classification: Biowissenschaften, Biologie

Creator: Sze, Sing-Hoi

Contributor: Pimsler, Meaghan L.
Tomberlin, Jeffery K.
Jones, Corbin D.
Tarone, Aaron M.
SpringerLink (Online service)

DOI: 10.1186/s12864-017-3735-1

URN: urn:nbn:de:1111-201706032918

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:23 AM CEST

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Sze, Sing-Hoi
Pimsler, Meaghan L.
Tomberlin, Jeffery K.
Jones, Corbin D.
Tarone, Aaron M.
SpringerLink (Online service)

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A scalable and memory-efficient algorithm for de novo transcriptome assembly of non-model organisms

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Other Objects (12)

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TransFlow: a modular framework for assembling and assessing accurate de novo transcriptomes in non-model organisms

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Optimization of de novo transcriptome assembly from high-throughput short read sequencing data improves functional annotation for non-model organisms

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Overcoming uncollapsed haplotypes in long-read assemblies of non-model organisms

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Optimization of de novo transcriptome assembly from high-throughput short read sequencing data improves functional annotation for non-model organisms

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