As promised in the webinar, here are a few papers that may be useful for this challenge. This list will be updated periodically.
If you have any papers you think are useful for this challenge but not listed, please let us know and we will gladly add it to the list.
Thanks.
-Sage
**Papers to predict drug resistance from transcriptomics in other models**
Costello et al (2014) Nature Biotechnology [https://www.ncbi.nlm.nih.gov/pubmed/24880487]
**Genes important for artemisinin resistance and response**
Ariey et al (2013) Nature [https://www.ncbi.nlm.nih.gov/pubmed/24352242]
Miotto (2015) Nature Genetics [https://www.ncbi.nlm.nih.gov/pubmed/25599401]
Mbengue et al (2015) Nature [https://www.ncbi.nlm.nih.gov/pubmed/25874676]
Paloque et al (2016) Malaria Journal [https://www.ncbi.nlm.nih.gov/pubmed/26955948]
Tilley et al (2016) Trends in Parasitology [https://www.ncbi.nlm.nih.gov/pubmed/27289273]
Bridgford et al (2018) Nature Communications [https://www.ncbi.nlm.nih.gov/pubmed/30228310]
**Transcription important for artemisinin resistance**
Mok et al (2015) Science [https://www.ncbi.nlm.nih.gov/pubmed/25502316]
Zhu et al (2018) Nature Communications [https://www.ncbi.nlm.nih.gov/pubmed/30514877]
**Transcription regarding drug resistance/perturbation**
Siwo_1 (2015) BMC Genomics [https://www.ncbi.nlm.nih.gov/pubmed/25765049]
Siwo_2 [2015) BMC Genomics [https://www.ncbi.nlm.nih.gov/pubmed/26637195]