Assessing De Novo transcriptome assembly metrics for consistency and utility (Q34356258)

1 August 2017

title

Assessing De Novo transcriptome assembly metrics for consistency and utility (English)

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1 August 2017

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2

Scott J Emrich

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1 August 2017

Shawn T O'Neil

1

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1 August 2017

language of work or name

English

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publication date

9 July 2013

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1 August 2017

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1 August 2017

volume

14

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1 August 2017

page(s)

465

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describes a project that uses

1 August 2017

MIRA

object named as

MIRA

1 reference

CZ Software Mentions: A large dataset of software mentions in the biomedical literature

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6 July 2018

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Short read Illumina data for the de novo assembly of a non-model snail species transcriptome (Radix balthica, Basommatophora, Pulmonata), and a comparison of assembler performance

6 July 2018

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6 July 2018

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6 July 2018

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6 July 2018

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6 July 2018

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6 July 2018

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6 July 2018

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6 July 2018

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Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

6 July 2018

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Sympatric ecological speciation meets pyrosequencing: sampling the transcriptome of the apple maggot Rhagoletis pomonella

6 July 2018

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454 pyrosequencing based transcriptome analysis of Zygaena filipendulae with focus on genes involved in biosynthesis of cyanogenic glucosides

6 July 2018

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6 July 2018

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6 July 2018

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6 July 2018

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6 July 2018

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High-throughput gene and SNP discovery in Eucalyptus grandis, an uncharacterized genome

6 July 2018

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6 July 2018

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Rapid transcriptome characterization for a nonmodel organism using 454 pyrosequencing.

6 July 2018

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6 July 2018

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Choosing BLAST options for better detection of orthologs as reciprocal best hits.

6 July 2018

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Crossref

https://api.crossref.org/works/10.1186%2F1471-2164-14-465

Zipf's law in gene expression.

21 January 2018

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27 October 2018

Identifiers

DOI

10.1186/1471-2164-14-465

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Dimensions Publication ID

1 August 2017

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1 August 2017

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