|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Replication Data for: High-throughput sequencing approaches applied to SARS-CoV-2 |
|
Identification Number: |
doi:10.7910/DVN/UG8CJG |
|
Distributor: |
Harvard Dataverse |
|
Date of Distribution: |
2023-01-06 |
|
Version: |
1 |
|
Bibliographic Citation: |
Ong’era, Edidah M.; Mohammed, Khadija Said; Makori, Timothy O.; Bejon, Philip; Ocholla-Oyier, Lynette Isabella; Nokes, D. James; Agoti, Charles N.; Githinji, George, 2023, "Replication Data for: High-throughput sequencing approaches applied to SARS-CoV-2", https://doi.org/10.7910/DVN/UG8CJG, Harvard Dataverse, V1 |
|
Citation |
|
|
Title: |
Replication Data for: High-throughput sequencing approaches applied to SARS-CoV-2 |
|
Identification Number: |
doi:10.7910/DVN/UG8CJG |
|
Authoring Entity: |
Ong’era, Edidah M. (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
|
Mohammed, Khadija Said (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
|
|
Makori, Timothy O. (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
|
|
Bejon, Philip (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
|
|
Ocholla-Oyier, Lynette Isabella (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
|
|
Nokes, D. James (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
|
|
Agoti, Charles N. (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
|
|
Githinji, George (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
|
|
Distributor: |
Harvard Dataverse |
|
Access Authority: |
Githinji, George |
|
Access Authority: |
The Data Governance Committee |
|
Depositor: |
Ong’era, Edidah M. |
|
Date of Deposit: |
2023-01-06 |
|
Holdings Information: |
https://doi.org/10.7910/DVN/UG8CJG |
|
Study Scope |
|
|
Keywords: |
Medicine, Health and Life Sciences, SARS-CoV-2, COVID-19, High-throughput sequencing, Genomics |
|
Abstract: |
<p>This is a repilcation dataset for the manuscript titled: "<a href="">High-throughput sequencing approaches applied to SARS-CoV-2</a>."</p> <p>This data comes from GISAID and contains SARSCoV-2 sequences information.</p> <p>Data description:<br> <ol> <li>all_combined.csv: These data contains generated SARSCoV-2 sequences across the world using different sequencing platforms as per 18th January 2022.</li> <li>gisaid_dataset2: contains a short oberview of SARSCoV-2 sequences available in GISAID as per 18th January 2022.</li> <li>coordinates_1.tsv: contains coordinates of countries in the world.</li> <li>world_bank.csv: contains economic status of countries in the world.</li> </ol> |
|
Kind of Data: |
Open Access |
|
Notes: |
<p><strong>Data Access: </strong>Open</p> <p><strong>License: </strong><a href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</a> <a href="https://creativecommons.org/licenses/by/4.0/legalcode"><img src="https://i.creativecommons.org/l/by/3.0/88x31.png"> </a></p> |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Citation Requirement: |
<p>Publications based on this data collection should acknowledge this source by means of bibliographic citation.</p> |
|
Notes: |
<p>This data is licensed under the <a href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</a> <a href="https://creativecommons.org/licenses/by/4.0/legalcode"><img src="https://i.creativecommons.org/l/by/3.0/88x31.png"> </a> </p> |
|
Other Study Description Materials |
|
|
Label: |
data.zip |
|
Notes: |
application/zip |
|
Label: |
EMoraa_Data_Codebook.pdf |
|
Notes: |
application/pdf |
|
Label: |
EMoraa_Data_Readme.txt |
|
Notes: |
text/plain |