Data

Effrenium voratum genomes and genes

The University of Queensland
Associate Professor Cheong Xin Chan (Aggregated by) Associate Professor Cheong Xin Chan (Aggregated by) Ms Sarah Shah (Aggregated by) Ms Sarah Shah (Aggregated by) Ms Sarah Shah (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/1f0377a&rft.title=Effrenium voratum genomes and genes&rft.identifier=RDM ID: 9323be50-c2f6-11ed-ad3b-77a718338f18&rft.publisher=The University of Queensland&rft.description=This dataset contains the genome assemblies of three Effrenium voratum (NCBI:txid2562239) isolates (*.genome.fa): CCMP421, RCC1521, and rt-383, generated from a combination of short (Illumina) and long-read (PacBio, Nanopore, 10X Linked Read) sequencing technologies. Also included are their predicted genes (in coding sequences, *CDS.fa) and corresponding predicted protein sequences (*proteins.fa) in two versions: with and without (*.no_iso.*) isoforms. The gene model annotations are in GFF3 format, with (*.genome.gff3) and without isoforms (*.genes.gff3). The organellar gene model annotations and scaffolds are also included. For more details, check the README.&rft.creator=Associate Professor Cheong Xin Chan&rft.creator=Associate Professor Cheong Xin Chan&rft.creator=Ms Sarah Shah&rft.creator=Ms Sarah Shah&rft.creator=Ms Sarah Shah&rft.date=2023&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Genomics and transcriptomics&rft_subject=Bioinformatics and computational biology&rft_subject=BIOLOGICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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[email protected]
School of Chemistry and Molecular Biosciences

Full description

This dataset contains the genome assemblies of three Effrenium voratum (NCBI:txid2562239) isolates (*.genome.fa): CCMP421, RCC1521, and rt-383, generated from a combination of short (Illumina) and long-read (PacBio, Nanopore, 10X Linked Read) sequencing technologies. Also included are their predicted genes (in coding sequences, *CDS.fa) and corresponding predicted protein sequences (*proteins.fa) in two versions: with and without (*.no_iso.*) isoforms. The gene model annotations are in GFF3 format, with (*.genome.gff3) and without isoforms (*.genes.gff3). The organellar gene model annotations and scaffolds are also included. For more details, check the README.

Issued: 2023

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Subjects
Biological Sciences | Bioinformatics and Computational Biology | Genomics and Transcriptomics | eng |

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