Additional file 2: of ROP: dumpster diving in RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues

Table S1. The effect of altering order of ROP step on the classification accuracy. Table S2. Concordance of targeted TCRB-Seq and ROP based on three TCGA samples from kidney renal clear cell carcinoma (KIRC). Table S4. RNA-seq datasets overview. Table S5. Genomic profile of unmapped reads reported for each dataset (S1, S2, S3). Table S6. Relative genomic abundance of microbial taxa at different levels of taxonomic classification after removal of reads with human origin (average over all samples of three tissues, performed for in-house RNA-Seqdata). Table S7. Genomic profile of unmapped reads across two SRA RNA-seq samples using ROP v1.0.8. Percentage for each category is calculated as a fraction from the total number of reads. (PDF 100 kb

Additional file 1: of ROP: dumpster diving in RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues

Supplementary methods. (PDF 789 kb

Additional file 3: of ROP: dumpster diving in RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues

Table S3. The list of the 2000 SRA RNA-seq samples used in the analysis. SRA samples were randomly selected from the Sequence Read Archive (SRA). (CSV 22 kb

COVID-19 Host Genetics Initiative. A first update on mapping the human genetic architecture of COVID-19

The COVID-19 pandemic continues to pose a major public health threat, especially in countries with low vaccination rates. To better understand the biological underpinnings of SARS-CoV-2 infection and COVID-19 severity, we formed the COVID-19 Host Genetics Initiative1. Here we present a genome-wide association study meta-analysis of up to 125,584 cases and over 2.5 million control individuals across 60 studies from 25 countries, adding 11 genome-wide significant loci compared with those previously identified2. Genes at new loci, including SFTPD, MUC5B and ACE2, reveal compelling insights regarding disease susceptibility and severity.</p