Please find more detailed descriptions for these files in the Supplementary materials.
Analyzed fitness defects
The following files contain the fitness defect scores. Each row represents a gene deletion strain, given by its ORF name and deletion batch. Each column represents a treatment experiment. Explanation of experiment names can be found on Page 4 of the Supplementary Materials.
- Homozygous fitness data
- Heterozygous fitness data excluding problematic batches
- Heterozygous fitness data including all batches
In Figure 3 of the manuscript, we displayed three clusters extracted from genome-wide clustering. We performed this genome-wide clustering by:
- Using the log-ratio fitness defect scores, downloadable above.
- Clustering them using Cluster 3.0
- Then visualizing the clusters using Java TreeView.
Multi-drug resistance (MDR) genes
and sensitivity counts for all deletion strains
For each deletion strain, we counted the number of unique conditions in which it was sensitive. We defined a gene as a "multi-drug resistance" gene if the deletion strain was sensitive in >20% of unique small molecule conditions (excluding environmental stress conditions).
- Heterozygous gene deletion sensitivity counts (Heterozygous MDR genes are in yellow)
- Homozygous gene deletion sensitivity counts (Homozygous MDR genes are in yellow)
Raw Affymetrix .CEL data
The following files contain the raw .CEL data from the Affymetrix TAG3 microarrays. Each experiment has an associated set of controls to which it was compared. The mapping from each experiment to its associated controls are denoted in the key files.
- Homozygous experiment CEL files (gz)
- Key: control set used for each homozygous experiment (txt)
- Heterozygous experiment CEL files (gz)
- Key: control set used for each heterozygous experiment (txt)
- Homozygous control CEL files (gz)
- Key: control chips used in each homozygous control set (txt)
- Heterozygous control CEL files (gz)
- Key: control chips used in each heterozygous control set (txt)
Scripts for analyzing .CEL data
Download scripts and associated files
Three perl scripts are used to parse the CEL data, perform normalization and assign fitness defect scores.
- The first script, "raw_file_data.pl" maps the raw intensity data in each input CEL file to their associated strain-tags.
- A second script, "normalize_data.pl" takes the output produced by the first script and normalizes it so that the data for each experiment has a mean inte nsity of 1500.
- The last script, "fitness_profile.pl", calculates both fitness defect log ratios and significance values (1 or 0) for a given set of control and treatmen t experiments using the normalized data produced by the second script.
Inquiries can be addressed to email@example.com.