Back

Databiology Lab CORONAHACK: Collection of Public COVID-19 Data

Caballero Perez, J.; de Blas Perez, C.; Leza Alvarez, F.; Caballero Contreras, J. M.

2020-10-22 bioinformatics
10.1101/2020.10.22.328864 bioRxiv
Show abstract

COVID-19 has had an unprecedented global impact in health and economy affecting millions of persons world-wide. To support and enable a collaborative response from the global research communities, we created a data collection for different public sources for anonymized patient clinical data, imaging datasets, molecular data as nucleotide and protein sequences for the SARS-CoV-2 virus, reports of count of cases and deaths per city/country, and other economic indicators in Databiology Lab (https://www.lab.databiology.net/) where researchers could access these data assets and use the hundreds of available open source bioinformatic applications to analyze them. These data assets are regularly updated and was used in a successful virtual 3-day hackathon organized by Databiology Ltd and Mindstream-AI where hundreds of attendees to work collaboratively to analyze these data collections.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Database
61 papers in training set
Top 0.1%
22.9%
2
PLOS ONE
5266 papers in training set
Top 15%
12.8%
3
GigaScience
212 papers in training set
Top 0.1%
12.2%
4
F1000Research
88 papers in training set
Top 0.2%
5.0%
50% of probability mass above
5
Gigabyte
62 papers in training set
Top 0.2%
3.5%
6
BMC Bioinformatics
457 papers in training set
Top 2%
3.3%
7
Scientific Data
209 papers in training set
Top 0.8%
3.3%
8
Informatics in Medicine Unlocked
22 papers in training set
Top 0.3%
2.7%
9
PeerJ
308 papers in training set
Top 3%
2.5%
10
Computational and Structural Biotechnology Journal
242 papers in training set
Top 2%
2.5%
11
Bioinformatics
1204 papers in training set
Top 6%
2.2%
12
Journal of Bioinformatics and Systems Biology
15 papers in training set
Top 0.1%
1.8%
13
Frontiers in Genetics
230 papers in training set
Top 2%
1.8%
14
Briefings in Bioinformatics
354 papers in training set
Top 4%
1.8%
15
BMC Research Notes
33 papers in training set
Top 0.5%
1.4%
16
Genomics, Proteomics & Bioinformatics
172 papers in training set
Top 1%
1.4%
17
Scientific Reports
3612 papers in training set
Top 63%
1.2%
18
PLOS Computational Biology
1863 papers in training set
Top 16%
1.2%
19
Bioinformatics Advances
203 papers in training set
Top 4%
0.9%
20
BMC Medical Genomics
50 papers in training set
Top 1%
0.6%
21
Nucleic Acids Research
1281 papers in training set
Top 14%
0.6%
22
Life
29 papers in training set
Top 1%
0.6%
23
BMC Genomics
406 papers in training set
Top 9%
0.6%
24
Biology
45 papers in training set
Top 1%
0.6%