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The dataset of de novo transcriptome assembly of Falcataria moluccana cambium from gall-rust (Uromycladium falcatarium) infected and non-infected tree.

Hasyyati Shabrina | Ulfah J Siregar | Deden D Matra | Iskandar Z Siregar
Data in brief | 2019

Sengon (Falcataria moluccana), formerly known as Albizia falcataria or Paraserianthes falcataria, is an essential tree species for the development of community-based timber plantation, especially in Indonesia. The plantations nowadays are facing a significant disease threat, namely infection of gall-rust fungi (Uromycladium falcatarium). However, a clear understanding of the molecular mechanisms of the tree response against the disease is still unknown. We carried out transcriptome assembly using BGISEQ-500 technology to provide assembled de novo transcriptome dataset generated from gall-rust infected and non-infected trees. The construction of assembled transcriptome was conducted using Trinity v.2.3.2 The raw reads are available in the DDBJ platform with accession number, DRA007983.

Pubmed ID: 31667253

Research resources used in this publication

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Associated grants

None

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

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UniProt (tool)

RRID:SCR_002380

Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB.

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Blast2GO (tool)

RRID:SCR_005828

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MISA (tool)

RRID:SCR_010765

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KEGG (tool)

RRID:SCR_012773

Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.

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Trinity (tool)

RRID:SCR_013048

Software for the efficient and robust de novo reconstruction of transcriptomes from RNA-seq data.

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