De Novo Transcriptome Assembly of Pummelo and Molecular Marker Development

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De Novo Transcriptome Assembly of Pummelo and Molecular Marker Development

Pummelo (Citrus grandis) is an important fruit crop worldwide because of its nutritional value. To accelerate the pummelo breeding program, it is essential to obtain extensive genetic information and develop relative molecular markers. Here, we obtained a 12-Gb transcriptome dataset of pummelo through a mixture of RNA from seven tissues using Illumina pair-end sequencing, assembled into 57,212 ...

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Clustering of Short Read Sequences for de novo Transcriptome Assembly

Given the importance of transcriptome analysis in various biological studies and considering thevast amount of whole transcriptome sequencing data, it seems necessary to develop analgorithm to assemble transcriptome data. In this study we propose an algorithm fortranscriptome assembly in the absence of a reference genome. First, the contiguous sequencesare generated using de Bruijn graph with d...

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clustering of short read sequences for de novo transcriptome assembly

given the importance of transcriptome analysis in various biological studies and considering thevast amount of whole transcriptome sequencing data, it seems necessary to develop analgorithm to assemble transcriptome data. in this study we propose an algorithm fortranscriptome assembly in the absence of a reference genome. first, the contiguous sequencesare generated using de bruijn graph with d...

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De novo Transcriptome Analysis and Molecular Marker Development of Two Hemarthria Species

Hemarthria R. Br. is an important genus of perennial forage grasses that is widely used in subtropical and tropical regions. Hemarthria grasses have made remarkable contributions to the development of animal husbandry and agro-ecosystem maintenance; however, there is currently a lack of comprehensive genomic data available for these species. In this study, we used Illumina high-throughput deep ...

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De novo transcriptome assembly with ABySS

MOTIVATION Whole transcriptome shotgun sequencing data from non-normalized samples offer unique opportunities to study the metabolic states of organisms. One can deduce gene expression levels using sequence coverage as a surrogate, identify coding changes or discover novel isoforms or transcripts. Especially for discovery of novel events, de novo assembly of transcriptomes is desirable. RESUL...

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ژورنال

عنوان ژورنال: PLOS ONE

سال: 2015

ISSN: 1932-6203

DOI: 10.1371/journal.pone.0120615