| gs://cloudosinputdata/deploit/teams/5e601f9f786cca0107921955/users/5c066455e0744f007585e826/projects/5e820cb0bc45f60104372e9a/jobs/5e834f19e7d1990104cc0b89/results/results/archive/rmats-nf-5e7a5e66acc18a010404e673.tar.gz | |
| gs://cloudosinputdata/deploit/teams/5e601f9f786cca0107921955/users/5c066455e0744f007585e826/projects/5e820cb0bc45f60104372e9a/jobs/5e8347d2e7d1990104cbe869/results/results/archive/rmats-nf-5e8191f740c6e21bfacdce70.tar.gz |
| batch-rmats-nf-5e8191f740c6e21bfacdce70 | gs://cloudosinputdata/team/5e601f9f786cca0107921955/user/5e601f9f786cca0107921954/projects/5e7900c786fdca01036e78a9/jobs/5e8191f740c6e21bfacdce70/results/split_matrices.tar.gz | |
|---|---|---|
| batch-rmats-nf-5e8191e7c1a31e1bf69b03dc | gs://cloudosinputdata/team/5e601f9f786cca0107921955/user/5e601f9f786cca0107921954/projects/5e7900c786fdca01036e78a9/jobs/5e8191e7c1a31e1bf69b03dc/results/split_matrices.tar.gz |
| ID GeneID geneSymbol chr strand riExonStart_0base riExonEnd upstreamES upstreamEE downstreamES downstreamEE |
| # example dataframe | |
| b <- structure(list(Sepal.Length = c("-", "-", "-", "4.6", "5", "5.4" | |
| ), Sepal.Width = c("3.5", "-", "-", "3.1", "3.6", "3.9"), Petal.Length = c("1.4", | |
| "1.4", "-", "-", "1.4", "1.7"), Petal.Width = c(0.2, 0.2, 0.2, | |
| 0.2, 0.2, 0.4), Species = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("setosa", | |
| "versicolor", "virginica"), class = "factor")), row.names = c(NA, |
| # covid19 <- data.table::fread("https://covid.ourworldindata.org/data/full_data.csv") | |
| # source: https://ourworldindata.org/coronavirus-source-data | |
| # covid_test_coverage <- data.table::fread("covid-19-tests-country.csv") | |
| # source: https://ourworldindata.org/coronavirus#current-covid-19-test-coverage-estimates | |
| # total_confirmed_cases <- data.table::fread("total_cases.csv") | |
| library(ggplot) |
| import papermill as pm | |
| pm.execute_notebook('weather_forecast_using_pyowm.ipynb', | |
| 'weather_forecast_using_pyowm_output.ipynb', | |
| parameters={'city':'Sao Paulo,BR'}, | |
| kernel_name='papermill-tutorial') |
| Geographic_origin | n | Pop7Groups | |
|---|---|---|---|
| Central_African_Republic | 36 | Africa | |
| Nigeria | 25 | Africa | |
| Senegal | 24 | Africa | |
| Democratic_Republic_of_Congo | 15 | Africa | |
| Kenya | 12 | Africa | |
| South_Africa | 8 | Africa | |
| Namibia | 7 | Africa | |
| Mexico | 50 | America | |
| Brazil | 45 | America |
| # print everything after loop is finished | |
| for (i in 0:101) { | |
| print(i) | |
| Sys.sleep(0.01) | |
| } | |
| # simplist way to print within loop | |
| for (i in 0:101) { | |
| print(i) | |
| Sys.sleep(0.01) |
[ec2-user@ip-172-31-29-73 ~]$ df -h
Filesystem Size Used Avail Use% Mounted on
devtmpfs 121G 68K 121G 1% /dev
tmpfs 121G 0 121G 0% /dev/shm
/dev/xvda1 5.3T 682G 4.7T 13% /sudo nextflow run https://github.com/PGP-UK/GenomeChronicler-Sarek-nf \