Assembly transcriptome
The transcriptome sequences were assembled using the Trinity package. Before assembly, low-quality reads were filtered from the raw reads using Trimmomatic with the parameters LEADING:20 TRAILING:20 SLIDINGWINDOW:4:20 MINLEN:50. The clean reads from the two pooled libraries were merged and in silico...
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Online Access: | https://dx.doi.org/10.5061/dryad.9gd3n/6 http://datadryad.org/resource/doi:10.5061/dryad.9gd3n/6 |
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ftdatacite:10.5061/dryad.9gd3n/6 2023-05-15T16:34:58+02:00 Assembly transcriptome Tong, Guang-Xiang Xu, Wei Zhang, Yong-Quan Zhang, Qing-Yu Yin, Jia-Sheng Kuang, Youyi 2017 https://dx.doi.org/10.5061/dryad.9gd3n/6 http://datadryad.org/resource/doi:10.5061/dryad.9gd3n/6 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.9gd3n http://creativecommons.org/publicdomain/zero/1.0 CC0 RNA-Seq comparative transcript analysis positive selection microsatellite markers Hucho taimen dataset Dataset DataFile 2017 ftdatacite https://doi.org/10.5061/dryad.9gd3n/6 https://doi.org/10.5061/dryad.9gd3n 2021-11-05T12:55:41Z The transcriptome sequences were assembled using the Trinity package. Before assembly, low-quality reads were filtered from the raw reads using Trimmomatic with the parameters LEADING:20 TRAILING:20 SLIDINGWINDOW:4:20 MINLEN:50. The clean reads from the two pooled libraries were merged and in silico normalized using the Trinity package with default parameters to reduce the running time and memory consumption. A parameter kmer size of 25 and a depth of at least two kmer were used for assembly with the Trinity package. The contigs resulting from Trinity were further fed to the TGI clustering Tool (version 2.1) to process alternative splicing and redundant sequences.The raw RNA-Seq reads and assembled transcripts were deposited in the European Nucleotide Archive under the project ID PRJEB19675 and accession numbers HAGJ01000001 to HAGJ01190473 for the assembled transcripts. Dataset Hucho taimen DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
RNA-Seq comparative transcript analysis positive selection microsatellite markers Hucho taimen |
spellingShingle |
RNA-Seq comparative transcript analysis positive selection microsatellite markers Hucho taimen Tong, Guang-Xiang Xu, Wei Zhang, Yong-Quan Zhang, Qing-Yu Yin, Jia-Sheng Kuang, Youyi Assembly transcriptome |
topic_facet |
RNA-Seq comparative transcript analysis positive selection microsatellite markers Hucho taimen |
description |
The transcriptome sequences were assembled using the Trinity package. Before assembly, low-quality reads were filtered from the raw reads using Trimmomatic with the parameters LEADING:20 TRAILING:20 SLIDINGWINDOW:4:20 MINLEN:50. The clean reads from the two pooled libraries were merged and in silico normalized using the Trinity package with default parameters to reduce the running time and memory consumption. A parameter kmer size of 25 and a depth of at least two kmer were used for assembly with the Trinity package. The contigs resulting from Trinity were further fed to the TGI clustering Tool (version 2.1) to process alternative splicing and redundant sequences.The raw RNA-Seq reads and assembled transcripts were deposited in the European Nucleotide Archive under the project ID PRJEB19675 and accession numbers HAGJ01000001 to HAGJ01190473 for the assembled transcripts. |
format |
Dataset |
author |
Tong, Guang-Xiang Xu, Wei Zhang, Yong-Quan Zhang, Qing-Yu Yin, Jia-Sheng Kuang, Youyi |
author_facet |
Tong, Guang-Xiang Xu, Wei Zhang, Yong-Quan Zhang, Qing-Yu Yin, Jia-Sheng Kuang, Youyi |
author_sort |
Tong, Guang-Xiang |
title |
Assembly transcriptome |
title_short |
Assembly transcriptome |
title_full |
Assembly transcriptome |
title_fullStr |
Assembly transcriptome |
title_full_unstemmed |
Assembly transcriptome |
title_sort |
assembly transcriptome |
publisher |
Dryad Digital Repository |
publishDate |
2017 |
url |
https://dx.doi.org/10.5061/dryad.9gd3n/6 http://datadryad.org/resource/doi:10.5061/dryad.9gd3n/6 |
genre |
Hucho taimen |
genre_facet |
Hucho taimen |
op_relation |
https://dx.doi.org/10.5061/dryad.9gd3n |
op_rights |
http://creativecommons.org/publicdomain/zero/1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5061/dryad.9gd3n/6 https://doi.org/10.5061/dryad.9gd3n |
_version_ |
1766025083953872896 |