1. Antonelli A, Ariza M, Albert J, Andermann T, Azevedo J, Bacon C, Faurby S, Guedes T, Hoorn C, Lohmann LG, Matos-Maraví P, Ritter CD, Sanmartín I, Silvestro D, Tejedor M, Ter Steege H, Tuomisto H, Werneck FP, Zizka A, Edwards SV. Conceptual and empirical advances in Neotropical biodiversity research. PeerJ 2018;6:e5644
  2. Braun RO, Brunner L, Wyler K, Auray G, García-Nicolás O, Python S, Zumkehr B, Gaschen V, Stoffel MH, Collin N, Barnier-Quer C, Bruggmann R, Summerfield A. System immunology-based identification of blood transcriptional modules correlating to antibody responses in sheep. NPJ Vaccines 2018;3:41
  3. Daga N, Eicher S, Kannan A, Casanova A, Low SH, Kreibich S, Andritschke D, Emmenlauer M, Jenkins JL, Hardt WD, Greber UF, Dehio C, von Mering C. Growth-restricting effects of siRNA transfections: a largely deterministic combination of off-target binding and hybridization-independent competition. Nucleic Acids Res 2018;46(18):9309-9320
  4. Daina A, Giuliano C, Pietra C, Wang J, Chi Y, Zou Z, Li F, Yan Z, Zhou Y, Guainazzi A, Garcia Rubio S, Zoete V. Rational Design, Synthesis, and Pharmacological Characterization of Novel Ghrelin Receptor Inverse Agonists as Potential Treatment against Obesity-Related Metabolic Diseases. J Med Chem 2018
  5. de Wit M, George GM, Ince YÇ, Dankwa-Egli B, Hersch M, Zeeman SC, Fankhauser C. Changes in resource partitioning between and within organs support growth adjustment to neighbor proximity in Brassicaceae seedlings. Proc Natl Acad Sci U S A 2018;115(42):E9953-E9961
  6. Dorier J, Goundaroulis D, Benedetti F, Stasiak A. Knoto-ID: a tool to study the entanglement of open protein chains using the concept of knotoids. Bioinformatics 2018;34(19):3402-3404
  7. Etzrodt M, Ahmed N, Hoppe PS, Loeffler D, Skylaki S, Hilsenbeck O, Kokkaliaris KD, Kaltenbach HM, Stelling J, Nerlov C, Schroeder T. Inflammatory signals directly instruct PU.1 in HSCs via TNF. Blood 2018
  8. Garcia V, Zoller S, Anisimova M. Accounting for Programmed Ribosomal Frameshifting in the Computation of Codon Usage Bias Indices. G3 (Bethesda) 2018;8(10):3173-3183
  9. Lombardot T, Morgat A, Axelsen KB, Aimo L, Hyka-Nouspikel N, Niknejad A, Ignatchenko A, Xenarios I, Coudert E, Redaschi N, Bridge A. Updates in Rhea: SPARQLing biochemical reaction data. Nucleic Acids Res 2018
  10. Lüdin P, Roetschi A, Wüthrich D, Bruggmann R, Berthoud H, Shani N. Update on Tetracycline Susceptibility of Pediococcus acidilactici Based on Strains Isolated from Swiss Cheese and Whey. J Food Prot 2018;81(10):1582-1589
  11. Meehan CJ, Moris P, Kohl TA, Pečerska J, Akter S, Merker M, Utpatel C, Beckert P, Gehre F, Lempens P, Stadler T, Kaswa MK, Kühnert D, Niemann S, de Jong BC. The relationship between transmission time and clustering methods in Mycobacterium tuberculosis epidemiology. EBioMedicine 2018
  12. Monti C, Lane L, Fasano M, Alberio T. Update of the Functional Mitochondrial Human Proteome Network. J Proteome Res 2018
  13. Ramon C, Gollub MG, Stelling J. Integrating -omics data into genome-scale metabolic network models: principles and challenges. Essays Biochem 2018;62(4):563-574
  14. Robinson N, Saugy J, Schütz F, Faiss R, Baume N, Giraud S, Saugy M. Worldwide distribution of blood values in elite track and field athletes: biomarkers of altered erythropoiesis. Drug Test Anal 2018
  15. Saghafinia S, Mina M, Riggi N, Hanahan D, Ciriello G. Pan-Cancer Landscape of Aberrant DNA Methylation across Human Tumors. Cell Rep 2018;25(4):1066-1080.e8
  16. Schmid MW, Heichinger C, Coman Schmid D, Guthörl D, Gagliardini V, Bruggmann R, Aluri S, Aquino C, Schmid B, Turnbull LA, Grossniklaus U. Contribution of epigenetic variation to adaptation in Arabidopsis. Nat Commun 2018;9(1):4446
  17. Singer F, Irmisch A, Toussaint NC, Grob L, Singer J, Thurnherr T, Beerenwinkel N, Levesque MP, Dummer R, Quagliata L, Rothschild SI, Wicki A, Beisel C, Stekhoven DJ. SwissMTB: establishing comprehensive molecular cancer diagnostics in Swiss clinics. BMC Med Inform Decis Mak 2018;18(1):89
  18. Tackmann J, Arora N, Schmidt TSB, Rodrigues JFM, von Mering C. Ecologically informed microbial biomarkers and accurate classification of mixed and unmixed samples in an extensive cross-study of human body sites. Microbiome 2018;6(1):192
  19. Thoms M, Mitterer V, Kater L, Falquet L, Beckmann R, Kressler D, Hurt E. Suppressor mutations in Rpf2-Rrs1 or Rpl5 bypass the Cgr1 function for pre-ribosomal 5S RNP-rotation. Nat Commun 2018;9(1):4094
  20. Villiger L, Grisch-Chan HM, Lindsay H, Ringnalda F, Pogliano CB, Allegri G, Fingerhut R, Häberle J, Matos J, Robinson MD, Thöny B, Schwank G. Treatment of a metabolic liver disease by in vivo genome base editing in adult mice. Nat Med 2018;24(10):1519-1525