Segal, Ella ShtifmanGritsenko, VladimirLevitan, AntonYadav, BhawnaDror, NaamaSteenwyk, Jacob L.Silberberg, YaelMielich, KevinRokas, AntonisGow, Neil A. R.Kunze, ReinhardSharan, RodedBerman, JudithPietro, Di2018-11-022018-11-022018-10-30Segal, E S, Gritsenko, V, Levitan, A, Yadav, B, Dror, N, Steenwyk, J L, Silberberg, Y, Mielich, K, Rokas, A, Gow, N A R, Kunze, R, Sharan, R, Berman, J & Pietro, D (ed.) 2018, 'Gene Essentiality Analyzed by In Vivo Transposon Mutagenesis and Machine Learning in a Stable Haploid Isolate of  Candida albicans', mBio, vol. 9, no. 5, 02048-18. https://doi.org/10.1128/mBio.02048-18RIS: urn:C0860C302BF4CFD8849139C5E526D804ORCID: /0000-0002-2776-5850/work/52609464http://hdl.handle.net/2164/11371This work was supported by European Research Council Advanced Award 340087 (RAPLODAPT) to J.B., the Dahlem Centre of Plant Sciences (DCPS) of the Freie Universität Berlin (R.K.), Israel Science Foundation grant no. 715/18 (R.S.), the Wellcome Trust (grants 086827, 075470, 101873, and 200208) and the MRC Centre for Medical Mycology (N006364/1) (N.A.R.G.). Data availability.All of the code and required dependencies for analysis of the TnSeq data are available at https://github.com/berman-lab/transposon-pipeline. Library insertion sequences are available at NCBI under project PRJNA490565 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA490565). Datasets S1 through S9 are available at https://doi.org/10.6084/m9.figshare.c.4251182.2326198engcandida albicansgenome analysisgenomicsmachine learningphenotypic identificationtransposonsQR MicrobiologyEuropean Research Council340087Wellcome Trust086827075470101873200208Medical Research Council (MRC)N006364/1QRJournal article10.1128/mBio.02048-1895