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Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7129160/ https://www.ncbi.nlm.nih.gov/pubmed/29625240 http://dx.doi.org/10.1016/j.meegid.2018.03.028 |
| _version_ | 1783516723936231424 |
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| author | Zhu, Zhaozhong Zhang, Zheng Chen, Wenjun Cai, Zena Ge, Xingyi Zhu, Haizhen Jiang, Taijiao Tan, Wenjie Peng, Yousong |
| author_facet | Zhu, Zhaozhong Zhang, Zheng Chen, Wenjun Cai, Zena Ge, Xingyi Zhu, Haizhen Jiang, Taijiao Tan, Wenjie Peng, Yousong |
| author_sort | Zhu, Zhaozhong |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7129160 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2018 |
| publisher | Elsevier B.V. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-71291602020-04-08 Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein Zhu, Zhaozhong Zhang, Zheng Chen, Wenjun Cai, Zena Ge, Xingyi Zhu, Haizhen Jiang, Taijiao Tan, Wenjie Peng, Yousong Infect Genet Evol Article Elsevier B.V. 2018-07 2018-04-04 /pmc/articles/PMC7129160/ /pubmed/29625240 http://dx.doi.org/10.1016/j.meegid.2018.03.028 Text en © 2018 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Article Zhu, Zhaozhong Zhang, Zheng Chen, Wenjun Cai, Zena Ge, Xingyi Zhu, Haizhen Jiang, Taijiao Tan, Wenjie Peng, Yousong Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein |
| title | Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein |
| title_full | Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein |
| title_fullStr | Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein |
| title_full_unstemmed | Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein |
| title_short | Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein |
| title_sort | predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7129160/ https://www.ncbi.nlm.nih.gov/pubmed/29625240 http://dx.doi.org/10.1016/j.meegid.2018.03.028 |
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