Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Modelling and Simulation Details.”https://doi.org/10.1371/journal.pcbi.1005609.s001__Public Library of Science, 2017.https://doi.org/10.1371/journal.pcbi.1005609.s001 .

Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Extensions of the Model.”https://doi.org/10.1371/journal.pcbi.1005609.s002__Public Library of Science, 2017.https://doi.org/10.1371/journal.pcbi.1005609.s002 .

Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Heuristic Prediction for Multiple Stresses.”https://doi.org/10.1371/journal.pcbi.1005609.s003__Public Library of Science, 2017.https://doi.org/10.1371/journal.pcbi.1005609.s003 .

Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Resistance Frequencies for Different Combination Strategies.”https://doi.org/10.1371/journal.pcbi.1005609.s004__Public Library of Science, 2017.https://doi.org/10.1371/journal.pcbi.1005609.s004 .

Lukacisin, Martin. “MATLAB Analysis Code for ‘Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast.’”https://doi.org/10.15479/AT:ISTA:64__Institute of Science and Technology Austria, 2017.https://doi.org/10.15479/AT:ISTA:64 .

Lukacisin, Martin, Matthieu Landon, and Rishi Jajoo. “MATLAB Analysis Code for ‘Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast.’”https://doi.org/10.15479/AT:ISTA:45__Institute of Science and Technology Austria, 2016.https://doi.org/10.15479/AT:ISTA:45 .

Chevereau, Guillaume, Marta Lukacisinova, Tugce Batur, Aysegul Guvenek, Dilay Hazal Ayhan, Erdal Toprak, and Mark Tobias Bollenbach. “Excel File Containing the Raw Data for All Figures.”https://doi.org/10.1371/journal.pbio.1002299.s001__Public Library of Science, 2015.https://doi.org/10.1371/journal.pbio.1002299.s001 .

Chevereau, Guillaume, Marta Lukacisinova, Tugce Batur, Aysegul Guvenek, Dilay Hazal Ayhan, Erdal Toprak, and Mark Tobias Bollenbach. “Gene Ontology Enrichment Analysis for the Most Sensitive Gene Deletion Strains for All Drugs.”https://doi.org/10.1371/journal.pbio.1002299.s008__Public Library of Science, 2015.https://doi.org/10.1371/journal.pbio.1002299.s008 .