Chaos game representation dataset of SARS-CoV-2 nucleotide sequences
| Main Author: | Fernandes, Marcelo A. C. |
|---|---|
| Other Authors: | de M. Barbosa, Raquel |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2020
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/nvk5bf3m2f |
| ctrlnum |
0.17632-nvk5bf3m2f.1 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Fernandes, Marcelo A. C.</creator><title>Chaos game representation dataset of SARS-CoV-2 nucleotide sequences</title><publisher>Mendeley</publisher><description>The dataset provides a chaos game representation (CGR) of SARS-CoV-2 virus nucleotide sequences. The dataset is composed of 100 virus instances of SARS-CoV-2. In addition, the dataset also provides a CGR representation of 11540 viruses from the Virus-Host DB dataset and the other three Riboviria viruses from NCBI.</description><subject>Digital Signal Processing</subject><subject>Computational Bioinformatics</subject><contributor>de M. Barbosa, Raquel</contributor><type>Other:Dataset</type><identifier>10.17632/nvk5bf3m2f.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/nvk5bf3m2f</relation><date>2020-04-03T01:14:17Z</date><recordID>0.17632-nvk5bf3m2f.1</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Fernandes, Marcelo A. C. |
| author2 |
de M. Barbosa, Raquel |
| title |
Chaos game representation dataset of SARS-CoV-2 nucleotide sequences |
| publisher |
Mendeley |
| publishDate |
2020 |
| topic |
Digital Signal Processing Computational Bioinformatics |
| url |
https:/data.mendeley.com/datasets/nvk5bf3m2f |
| contents |
The dataset provides a chaos game representation (CGR) of SARS-CoV-2 virus nucleotide sequences. The dataset is composed of 100 virus instances of SARS-CoV-2. In addition, the dataset also provides a CGR representation of 11540 viruses from the Virus-Host DB dataset and the other three Riboviria viruses from NCBI. |
| id |
IOS7969.0.17632-nvk5bf3m2f.1 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:20:18Z |
| last_indexed |
2020-04-08T08:20:18Z |
| recordtype |
dc |
| _version_ |
1686587547578269696 |
| score |
17.538404 |