Dataset for: The African Sweetpotato Virome
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset of the African Sweetpotato Virome is organized in a webpage which includes photos (from field, plants, and collected leaves), field information, and molecular information (genome sequences) of the detected and identified viruses (known and unknown) which are necessary to better understand the diversity and distribution of viruses in Africa (Angola, Benin, Burkina Faso, Ethiopia, Ghana, Guinea, Malawi, Mozambique, Nigeria, Tanzania, Uganda, Zimbabwe). It represents a baseline for monitoring changes of viral populations and the risk they represent for sweet potato cultivation under a changing climate. Link to download this dataset: http://bioinfo.bti.cornell.edu/virom' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Deep sequencing","High-throughput sequencing","Small RNA","Virus detection"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The dataset of the African Sweetpotato Virome is organized in a webpage which includes photos (from field, plants, and collected leaves), field information, and molecular information (genome sequences) of the detected and identified viruses (known and unknown) which are necessary to better understand the diversity and distribution of viruses in Africa (Angola, Benin, Burkina Faso, Ethiopia, Ghana, Guinea, Malawi, Mozambique, Nigeria, Tanzania, Uganda, Zimbabwe). It represents a baseline for monitoring changes of viral populations and the risk they represent for sweet potato cultivation under a changing climate. Link to download this dataset: http://bioinfo.bti.cornell.edu/virom' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The dataset of the African Sweetpotato Virome is organized in a webpage which includes photos (from field, plants, and collected leaves), field information, and molecular information (genome sequences) of the detected and identified viruses (known and unknown) which are necessary to better understand the diversity and distribution of viruses in Africa (Angola, Benin, Burkina Faso, Ethiopia, Ghana, Guinea, Malawi, Mozambique, Nigeria, Tanzania, Uganda, Zimbabwe). It represents a baseline for monitoring changes of viral populations and the risk they represent for sweet potato cultivation under a changing climate. Link to download this dataset: http://bioinfo.bti.cornell.edu/virom
Deep sequencing; High-throughput sequencing; Small RNA; Virus detection