551 to 560 of 598 Results
Jun 13, 2018 -
Replication Data for: Human Coronavirus NL63 Molecular Epidemiology and Evolutionary Patterns in Rural Coastal Kenya
Stata Binary - 4.4 MB -
MD5: 11e202652ee9f9ac3aba7a2e1d6c473d
Analysis Dataset (STATA Format) |
Feb 1, 2018 -
Replication Data for: Evaluating the Performance of Tools Used to Call Minority Variants from Whole Genome Short-Read Data
Plain Text - 4.2 KB -
MD5: 1e6a6593579a4acce074e4a1172d7a48
Readme File |
Feb 1, 2018 -
Replication Data for: Evaluating the Performance of Tools Used to Call Minority Variants from Whole Genome Short-Read Data
Adobe PDF - 165.1 KB -
MD5: 96e950180d64578397d0fbc6501eae75
FastQC metrics for sample used to generate simulated reads for the second dataset |
Feb 1, 2018 -
Replication Data for: Evaluating the Performance of Tools Used to Call Minority Variants from Whole Genome Short-Read Data
Adobe PDF - 163.1 KB -
MD5: ff757fb969cbb35c9a5fc0b9193dc92e
FastQC quality profile for sample used to generate simulated reads for the third dataset |
Jan 16, 2018
Agoti, C.N.; Munywoki, P.K.; Cotten, M.; Nokes, D.J., 2018, "Replication Data for: Transmission patterns and evolution of respiratory syncytial virus in a community outbreak identified by genomic analysis.", https://doi.org/10.7910/DVN/L9NFPN, Harvard Dataverse, V1
Detailed information on the source, spread and evolution of respiratory syncytial virus (RSV) during seasonal community outbreaks remains sparse. Molecular analyses of attachment (G) gene sequences from hospitalized cases suggest that multiple genotypes and variants co-circulate during epidemics and that RSV persistence over successive seasons is c... |
Plain Text - 7.0 KB -
MD5: 3f0931bb9b6c172360658998f030894f
Dataset_Readme File |
Adobe PDF - 801.9 KB -
MD5: 9384cd26c6af9a2db6218aa64e9173be
Research Article |
Python Source Code - 3.2 KB -
MD5: af41886dd0018fa5a5ec089819171380
Python Software Script |
Python Source Code - 1.1 KB -
MD5: 054fc7c15b04857172bd84b948a971a4
Python Software Script |
Python Source Code - 4.4 KB -
MD5: a3732a94aaa65acc23d6e0ba75c19b1e
Python Software Script |