Home
|
Survival During Nutrient Starvation Homepage
|
Figures
|
published figures
|
Supplement
|
supplementary figures and tables
|
Download
|
data table and sequence reads
|
Authors
|
researchers and collaborators
|
|
|
Supplement
|
-
Figure S1. Comparison of absolute death rate estimates inferred from pooled experiment for uptags (circles) and downtags (triangles) with individual mutant analysis in pure cultures (crosses).
-
Data are presented for ATG10Δ0 starved for (A) phosphate and (B) leucine and PEX13%G∆%@0 starved for (C) phosphate and (D) leucine. Barcode counts are the normalized as described in (methods). Pure culture counts are number of viable cells/L. supplementary figures and tables
- Table S1. Summary of sequencing experiments.
- All sequencing data that passed filters in the Illumina software pipeline were analyzed and processed with custom Perl scripts.
- Table S2. Modeled relative survival rates for all mutants starved for phosphate.
- We performed regression analysis for 6,806 barcodes corresponding to 4,337 unique genes. We determined that 1,333 genes behave significantly differently than the overall population at an FDR of 5%.
- Table S3. Modeled relative survival rates for all mutants starved for leucine.
- We performed regression analysis for 6,740 barcodes corresponding to 4299 unique genes. We determined that 3,951 genes behave significantly differently than the overall population at an FDR of 5%.
- Table S4. Modeled absolute survival rates for all mutants starved for phosphate.
- We performed regression analysis for 6,806 barcodes corresponding to 4,337 unique genes. We calculated significant absolute death rates for 4,143 genes at an FDR of 5%.
- Table S5. Modeled absolute survival rates for all mutants starved for leucine.
- We performed regression analysis for 6,730 barcodes corresponding to 4,239 unique genes. We calculated significant absolute death rates for 3,591 genes at an FDR of 5%.
- Table S6. Complete results for gene class enrichment analysis.
- We tested gene classes defined by GO terms, GO slim terms, protein complexes, biochemical pathways, high throughput phenotypic studies and gene expression studies for significant non-random distributions of half lives.
|
|