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López-Sandoval, D. C., Rowe, K., Carillo-de-Albonoz, P., Duarte, C. M., & Agustí, S. (2019). Rates and drivers of Red Sea plankton community metabolism. Biogeosciences, 16(15), 2983–2995. https://doi.org/10.5194/bg-16-2983-2019
Sanz-Martín, M., Vernet, M., Cape, M. R., Mesa, E., Delgado-Huertas, A., Reigstad, M., … Duarte, C. M. (2019). Relationship Between Carbon- and Oxygen-Based Primary Productivity in the Arctic Ocean, Svalbard Archipelago. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00468
López-Sandoval, D. C., Rowe, K., Carillo-de-Albonoz, P., Duarte, C. M., & Agustí, S. (2019). Rates and drivers of Red Sea plankton community metabolism. Biogeosciences, 16(15), 2983–2995. https://doi.org/10.5194/bg-16-2983-2019
Pei, S., Yu, L., & Zhang, X. (2019). Improving Cross-lingual Entity Alignment via Optimal Transport. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/448
Chen, X., Yu, G., Wang, J., Domeniconi, C., Li, Z., & Zhang, X. (2019). ActiveHNE: Active Heterogeneous Network Embedding. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/294
Yao, S., Yu, G., Wang, J., Domeniconi, C., & Zhang, X. (2019). Multi-View Multiple Clustering. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/572
De los Santos, C. B., Krause-Jensen, D., Alcoverro, T., Marbà, N., Duarte, C. M., van Katwijk, M. M., … Santos, R. (2019). Recent trend reversal for declining European seagrass meadows. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-11340-4
Klein, S. G., Pitt, K. A., Lucas, C. H., Hung, S.-H., Schmidt-Roach, S., Aranda, M., & Duarte, C. M. (2019). Night-Time Temperature Reprieves Enhance the Thermal Tolerance of a Symbiotic Cnidarian. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00453
Yan, R., Le, R., Song, Y., Zhang, T., Zhang, X., & Zhao, D. (2019). Interview Choice Reveals Your Preference on the Market. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. https://doi.org/10.1145/3292500.3330963
Jin, P., Overmans, S., Duarte, C. M., & Agustí, S. (2019). Increasing temperature within thermal limits compensates negative ultraviolet‐B radiation effects in terrestrial and aquatic organisms. Global Ecology and Biogeography, 28(11), 1695–1711. https://doi.org/10.1111/geb.12973
Queiroz, N., Humphries, N. E., Couto, A., Vedor, M., da Costa, I., Sequeira, A. M. M., … Abercrombie, D. L. (2019). Global spatial risk assessment of sharks under the footprint of fisheries. Nature, 572(7770), 461–466. https://doi.org/10.1038/s41586-019-1444-4
Peng, C., Duarte, C. M., Costa, D. P., Guinet, C., Harcourt, R. G., Hindell, M. A., … Zhang, X. (2019). Deep Learning Resolves Representative Movement Patterns in a Marine Predator Species. Applied Sciences, 9(14), 2935. https://doi.org/10.3390/app9142935
Mazarrasa, I., Marbà, N., Krause-Jensen, D., Kennedy, H., Santos, R., Lovelock, C. E., & Duarte, C. M. (2019). Decreasing carbonate load of seagrass leaves with increasing latitude. Aquatic Botany, 159, 103147. https://doi.org/10.1016/j.aquabot.2019.103147
Yu, L., Zhang, C., Liang, S., & Zhang, X. (2019). Multi-Order Attentive Ranking Model for Sequential Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence, 33, 5709–5716. https://doi.org/10.1609/aaai.v33i01.33015709
Mahadik, G. A., Agusti, S., & Duarte, C. M. (2019). Distribution and Characteristics of Halobates germanus Population in the Red Sea. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00408
Zhao, J., Shang, S., Wang, P., Lui, J. C., & Zhang, X. (2019). Submodular Optimization over Streams with Inhomogeneous Decays. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 5861-5868. https://doi.org/10.1609/aaai.v33i01.33015861
Sequeira, A. M. M., Heupel, M. R., Lea, M. ‐A., Eguíluz, V. M., Duarte, C. M., Meekan, M. G., … Hays, G. C. (2019). The importance of sample size in marine megafauna tagging studies. Ecological Applications, 29(6). https://doi.org/10.1002/eap.1947
Rossbach, S., Saderne, V., Anton, A., & Duarte, C. M. (2019). Light-dependent calcification in Red Sea giant clam <i>Tridacna maxima</i> Biogeosciences, 16(13), 2635–2650. https://doi.org/10.5194/bg-16-2635-2019
Han, R., Bao, Z., Zeng, X., Niu, T., Zhang, F., Xu, M., & Gao, X. (2019). A joint method for marker-free alignment of tilt series in electron tomography. Bioinformatics, 35(14), i249–i259. https://doi.org/10.1093/bioinformatics/btz323
Duffy, J. E., Benedetti-Cecchi, L., Trinanes, J., Muller-Karger, F. E., Ambo-Rappe, R., Boström, C., … Yaakub, S. M. (2019). Toward a Coordinated Global Observing System for Seagrasses and Marine Macroalgae. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00317
Krause-Jensen, D., Sejr, M. K., Bruhn, A., Rasmussen, M. B., Christensen, P. B., Hansen, J. L. S., … Wegeberg, S. (2019). Deep Penetration of Kelps Offshore Along the West Coast of Greenland. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00375
Wilson, R. P., Börger, L., Holton, M. D., Scantlebury, D. M., Gómez‐Laich, A., Quintana, F., … Shepard, E. L. C. (2019). Estimates for energy expenditure in free‐living animals using acceleration proxies: A reappraisal. Journal of Animal Ecology, 89(1), 161–172. https://doi.org/10.1111/1365-2656.13040
Sanz-Martín, M., Hendriks, I. E., Carstensen, J., Marbà, N., Krause-Jensen, D., Sejr, M. K., & Duarte, C. M. (2019). Continuous photoperiod of the Artic summer stimulates the photosynthetic response of some marine macrophytes. Aquatic Botany, 158, 103126. https://doi.org/10.1016/j.aquabot.2019.06.005
Harcourt, R., Sequeira, A. M. M., Zhang, X., Roquet, F., Komatsu, K., Heupel, M., … Carroll, G. (2019). Animal-Borne Telemetry: An Integral Component of the Ocean Observing Toolkit. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00326
Ramajo, L., Lagos, N. A., & Duarte, C. M. (2019). Seagrass Posidonia oceanica diel pH fluctuations reduce the mortality of epiphytic forams under experimental ocean acidification. Marine Pollution Bulletin, 146, 247–254. https://doi.org/10.1016/j.marpolbul.2019.06.011
Ni, M., Zhuo, S., Iliescu, C., So, P. T. C., Mehta, J. S., Yu, H., & Hauser, C. A. E. (2019). Self‐assembling amyloid‐like peptides as exogenous second harmonic probes for bioimaging applications. Journal of Biophotonics, 12(12). https://doi.org/10.1002/jbio.201900065
Iuculano, F., Álverez-Salgado, X. A., Otero, J., Catalá, T. S., Sobrino, C., Duarte, C. M., & Agustí, S. (2019). Patterns and Drivers of UV Absorbing Chromophoric Dissolved Organic Matter in the Euphotic Layer of the Open Ocean. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00320
Bennett, S., Duarte, C. M., Marbà, N., & Wernberg, T. (2019). Integrating within-species variation in thermal physiology into climate change ecology. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1778), 20180550. https://doi.org/10.1098/rstb.2018.0550
Martin, C., Agustí, S., & Duarte, C. M. (2019). Seasonality of marine plastic abundance in central Red Sea pelagic waters. Science of The Total Environment, 688, 536–541. https://doi.org/10.1016/j.scitotenv.2019.06.240
Zhao, J., Shang, S., Wang, P., Lui, J. C. S., & Zhang, X. (2019). Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks. 2019 IEEE 35th International Conference on Data Engineering (ICDE). https://doi.org/10.1109/icde.2019.00102
Siuly, S., & Zhang, X. (2019). Guest Editorial: Special issue on “Application of artificial intelligence in health research.” Health Information Science and Systems, 8(1). https://doi.org/10.1007/s13755-019-0089-x
Yahya, R. Z., Arrieta, J. M., Cusack, M., & Duarte, C. M. (2019). Airborne Prokaryote and Virus Abundance Over the Red Sea. Frontiers in Microbiology, 10. https://doi.org/10.3389/fmicb.2019.01112
Krause, J. W., Schulz, I. K., Rowe, K. A., Dobbins, W., Winding, M. H. S., Sejr, M. K., … Agustí, S. (2019). Silicic acid limitation drives bloom termination and potential carbon sequestration in an Arctic bloom. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-44587-4
Arossa, S., Martin, C., Rossbach, S., & Duarte, C. M. (2019). Microplastic removal by Red Sea giant clam (Tridacna maxima). Environmental Pollution, 252, 1257–1266. https://doi.org/10.1016/j.envpol.2019.05.149
Garcias-Bonet, N., Delgado-Huertas, A., Carrillo-de-Albornoz, P., Anton, A., Almahasheer, H., Marbà, N., … Duarte, C. M. (2019). Carbon and Nitrogen Concentrations, Stocks, and Isotopic Compositions in Red Sea Seagrass and Mangrove Sediments. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00267
Mankowski, M. A., Kosztowski, M., Raghavan, S., Garonzik‐Wang, J. M., Axelrod, D., Segev, D. L., & Gentry, S. E. (2019). Accelerating kidney allocation: Simultaneously expiring offers. American Journal of Transplantation, 19(11), 3071–3078. https://doi.org/10.1111/ajt.15396
Geraldi, N. R., Ortega, A., Serrano, O., Macreadie, P. I., Lovelock, C. E., Krause-Jensen, D., … Duarte, C. M. (2019). Fingerprinting Blue Carbon: Rationale and Tools to Determine the Source of Organic Carbon in Marine Depositional Environments. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00263
Wang, W., Zhao, M., Gao, Z., Xu, G., Xian, H., Li, Y., & Zhang, X. (2019). Constructing Features for Detecting Android Malicious Applications: Issues, Taxonomy and Directions. IEEE Access, 7, 67602–67631. https://doi.org/10.1109/access.2019.2918139
Yang, Q., Li, Z., Liu, A., Liu, G., Zhao, L., Zhang, X., … Zhou, X. (2019). A novel hybrid publication recommendation system using compound information. World Wide Web, 22(6), 2499–2517. https://doi.org/10.1007/s11280-019-00687-9
Pu, J., Wang, Y., Liu, X., & Zhang, X. (2019). STLP-OD: Spatial and Temporal Label Propagation for Traffic Outlier Detection. IEEE Access, 7, 63036–63044. https://doi.org/10.1109/access.2019.2916853
Acinas, S. G., Sánchez, P., Salazar, G., Cornejo-Castillo, F. M., Sebastián, M., Logares, R., … Gasol, J. M. (2019). Metabolic Architecture of the Deep Ocean Microbiome. https://doi.org/10.1101/635680
Acinas, S. G., Sánchez, P., Salazar, G., Cornejo-Castillo, F. M., Sebastián, M., Logares, R., … Gasol, J. M. (2019). Metabolic Architecture of the Deep Ocean Microbiome. https://doi.org/10.1101/635680
Pei, S., Yu, L., Hoehndorf, R., & Zhang, X. (2019). Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference. The World Wide Web Conference on - WWW ’19. https://doi.org/10.1145/3308558.3313646
Berumen, M. L., Voolstra, C. R., Daffonchio, D., Agusti, S., Aranda, M., Irigoien, X., … Duarte, C. M. (2019). The Red Sea: Environmental Gradients Shape a Natural Laboratory in a Nascent Ocean. Coral Reefs of the World, 1–10. https://doi.org/10.1007/978-3-030-05802-9_1
Ruiz‐González, C., Logares, R., Sebastián, M., Mestre, M., Rodríguez‐Martínez, R., Galí, M., … Gasol, J. M. (2019). Higher contribution of globally rare bacterial taxa reflects environmental transitions across the surface ocean. Molecular Ecology, 28(8), 1930–1945. https://doi.org/10.1111/mec.15026
Ruiz‐González, C., Logares, R., Sebastián, M., Mestre, M., Rodríguez‐Martínez, R., Galí, M., … Gasol, J. M. (2019). Higher contribution of globally rare bacterial taxa reflects environmental transitions across the surface ocean. Molecular Ecology, 28(8), 1930–1945. https://doi.org/10.1111/mec.15026
Guan, Y., Ngugi, D. K., Vinu, M., Blom, J., Alam, I., Guillot, S., … Stingl, U. (2019). Comparative Genomics of the Genus Methanohalophilus, Including a Newly Isolated Strain From Kebrit Deep in the Red Sea. Frontiers in Microbiology, 10. https://doi.org/10.3389/fmicb.2019.00839
Wang, Y., Yu, G., Domeniconi, C., Wang, J., Zhang, X., & Guo, M. (2019). Selective Matrix Factorization for Multi-relational Data Fusion. Lecture Notes in Computer Science, 313–329. https://doi.org/10.1007/978-3-030-18576-3_19
Zhai, D., Liu, A., Chen, S., Li, Z., & Zhang, X. (2019). SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing. Lecture Notes in Computer Science, 260–275. https://doi.org/10.1007/978-3-030-18576-3_16
Geraldi, N. R., Anton, A., Lovelock, C. E., & Duarte, C. M. (2019). Are the ecological effects of the “worst” marine invasive species linked with scientific and media attention? PLOS ONE, 14(4), e0215691. https://doi.org/10.1371/journal.pone.0215691
Anton, A., Geraldi, N. R., Lovelock, C. E., Apostolaki, E. T., Bennett, S., Cebrian, J., … Duarte, C. M. (2019). Global ecological impacts of marine exotic species. Nature Ecology & Evolution, 3(5), 787–800. https://doi.org/10.1038/s41559-019-0851-0
Jamil, M., Kountche, B. A., Haider, I., Wang, J. Y., Aldossary, F., Zarban, R. A., … Al-Babili, S. (2019). Methylation at the C-3′ in D-Ring of Strigolactone Analogs Reduces Biological Activity in Root Parasitic Plants and Rice. Frontiers in Plant Science, 10. https://doi.org/10.3389/fpls.2019.00353
Regaudie-de-Gioux, A., Huete-Ortega, M., Sobrino, C., López-Sandoval, D. C., González, N., Fernández-Carrera, A., … Duarte, C. M. (2019). Multi-model remote sensing assessment of primary production in the subtropical gyres. Journal of Marine Systems, 196, 97–106. https://doi.org/10.1016/j.jmarsys.2019.03.007
Sun, G., & Zhang, X. (2019). A Novel Framework for Node/Edge Attributed Graph Embedding. Lecture Notes in Computer Science, 169–182. https://doi.org/10.1007/978-3-030-16142-2_14
Vaqué, D., Lara, E., Arrieta, J. M., Holding, J., Sà, E. L., Hendriks, I. E., … Duarte, C. M. (2019). Warming and CO2 Enhance Arctic Heterotrophic Microbial Activity. Frontiers in Microbiology, 10. https://doi.org/10.3389/fmicb.2019.00494
Carstensen, J., & Duarte, C. M. (2019). Drivers of pH Variability in Coastal Ecosystems. Environmental Science & Technology, 53(8), 4020–4029. https://doi.org/10.1021/acs.est.8b03655
Hays, G. C., Bailey, H., Bograd, S. J., Bowen, W. D., Campagna, C., Carmichael, R. H., … Sequeira, A. M. M. (2019). Translating Marine Animal Tracking Data into Conservation Policy and Management. Trends in Ecology & Evolution, 34(5), 459–473. https://doi.org/10.1016/j.tree.2019.01.009
Burkholz, C., Duarte, C., & Garcias-Bonet, N. (2019). Thermal dependence of seagrass ecosystem metabolism in the Red Sea. Marine Ecology Progress Series, 614, 79–90. https://doi.org/10.3354/meps12912
Saderne, V., Geraldi, N. R., Macreadie, P. I., Maher, D. T., Middelburg, J. J., Serrano, O., … Duarte, C. M. (2019). Role of carbonate burial in Blue Carbon budgets. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-08842-6
Lovelock, C. E., & Duarte, C. M. (2019). Dimensions of Blue Carbon and emerging perspectives. Biology Letters, 15(3), 20180781. https://doi.org/10.1098/rsbl.2018.0781
Ashok, A., Cusack, M., Saderne, V., Krishnakumar, P. K., Rabaoui, L., Qurban, M. A., … Agustí, S. (2019). Accelerated burial of petroleum hydrocarbons in Arabian Gulf blue carbon repositories. Science of The Total Environment, 669, 205–212. https://doi.org/10.1016/j.scitotenv.2019.01.437
Liu, X., Liu, J., Zhu, S., Wang, W., & Zhang, X. (2020). Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem. IEEE Transactions on Mobile Computing, 19(5), 1184–1199. https://doi.org/10.1109/tmc.2019.2903186
Liu, X., Liu, J., Zhu, S., Wang, W., & Zhang, X. (2020). Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem. IEEE Transactions on Mobile Computing, 19(5), 1184–1199. https://doi.org/10.1109/tmc.2019.2903186
Palmer, E. E., Hong, S., Al Zahrani, F., Hashem, M. O., Aleisa, F. A., Ahmed, H. M. J., … Arold, S. T. (2019). De Novo Variants Disrupting the HX Repeat Motif of ATN1 Cause a Recognizable Non-Progressive Neurocognitive Syndrome. The American Journal of Human Genetics, 104(3), 542–552. https://doi.org/10.1016/j.ajhg.2019.01.013
Kafkas, Ş., & Hoehndorf, R. (2019). Ontology based text mining of gene-phenotype associations: application to candidate gene prediction. Database, 2019. https://doi.org/10.1093/database/baz019
Tse, C. K. M., Xu, J., Xu, L., Sheong, F. K., Wang, S., Chow, H. Y., … Huang, X. (2019). Intrinsic cleavage of RNA polymerase II adopts a nucleobase-independent mechanism assisted by transcript phosphate. Nature Catalysis, 2(3), 228–235. https://doi.org/10.1038/s41929-019-0227-5
Boudellioua, I., Kulmanov, M., Schofield, P. N., Gkoutos, G. V., & Hoehndorf, R. (2019). DeepPVP: phenotype-based prioritization of causative variants using deep learning. BMC Bioinformatics, 20(1). https://doi.org/10.1186/s12859-019-2633-8
Smaili, F. Z., Gao, X., & Hoehndorf, R. (2019). Formal axioms in biomedical ontologies improve analysis and interpretation of associated data. https://doi.org/10.1101/536649
Shaikh, S. F., Mazo-Mantilla, H. F., Qaiser, N., Khan, S. M., Nassar, J. M., Geraldi, N. R., … Hussain, M. M. (2019). Noninvasive Featherlight Wearable Compliant “Marine Skin”: Standalone Multisensory System for Deep-Sea Environmental Monitoring. Small, 15(10), 1804385. https://doi.org/10.1002/smll.201804385
Liu, X., Li, Z., Wang, J., Yu, G., Domenicon, C., & Zhang, X. (2019). Cross-Modal Zero-Shot Hashing. 2019 IEEE International Conference on Data Mining (ICDM). https://doi.org/10.1109/icdm.2019.00055
Zhang, W., Ding, W., Li, Y.-X., Tam, C., Bougouffa, S., Wang, R., … Qian, P.-Y. (2019). Marine biofilms constitute a bank of hidden microbial diversity and functional potential. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-08463-z
Akujuobi, U., Yufei, H., Zhang, Q., & Zhang, X. (2019). Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification. 2019 IEEE International Conference on Data Mining (ICDM). https://doi.org/10.1109/icdm.2019.00010
Meng, Z., Liang, S., Bao, H., & Zhang, X. (2019). Co-Embedding Attributed Networks. Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/3289600.3291015
WILSON, R. P., HOLTON, M., WILSON, V. L., GUNNER, R., TYSSE, B., WILSON, G. I., … SCANTLEBURY, D. M. (2019). Towards informed metrics for examining the role of human-induced animal responses in tag studies on wild animals. Integrative Zoology, 14(1), 17–29. https://doi.org/10.1111/1749-4877.12328
Martin, C., Almahasheer, H., & Duarte, C. M. (2019). Mangrove forests as traps for marine litter. Environmental Pollution, 247, 499–508. https://doi.org/10.1016/j.envpol.2019.01.067
Garcias-Bonet, N., Vaquer-Sunyer, R., Duarte, C. M., & Marbà, N. (2019). Warming effect on nitrogen fixation in Mediterranean macrophyte sediments. Biogeosciences, 16(1), 167–175. https://doi.org/10.5194/bg-16-167-2019
Agusti, S., Lubián, L. M., Moreno-Ostos, E., Estrada, M., & Duarte, C. M. (2019). Projected Changes in Photosynthetic Picoplankton in a Warmer Subtropical Ocean. Frontiers in Marine Science, 5. https://doi.org/10.3389/fmars.2018.00506
López‐Sandoval, D. C., Delgado‐Huertas, A., Carrillo‐de‐Albornoz, P., Duarte, C. M., & Agustí, S. (2019). Use of cavity ring‐down spectrometry to quantify 13 C‐primary productivity in oligotrophic waters. Limnology and Oceanography: Methods, 17(2), 137–144. https://doi.org/10.1002/lom3.10305
N’Doye, I., Asiri, S., Aloufi, A., Asem Al-Awan, A., & Laleg-Kirati, T.-M. (2020). Intelligent Proportional–Integral–Derivative Control-Based Modulating Functions for Laser Beam Pointing and Stabilization. IEEE Transactions on Control Systems Technology, 28(3), 1001–1008. https://doi.org/10.1109/tcst.2018.2884197
Wang, G., Yin, H., Li, B., Yu, C., Wang, F., Xu, X., … Zhang, Z. (2019). Characterization and identification of long non-coding RNAs based on feature relationship. Bioinformatics, 35(17), 2949–2956. https://doi.org/10.1093/bioinformatics/btz008


Shahul Hameed, U. F., Liao, C., Radhakrishnan, A. K., Huser, F., Aljedani, S. S., Zhao, X., … Arold, S. T. (2018). H-NS uses an autoinhibitory conformational switch for environment-controlled gene silencing. Nucleic Acids Research, 47(5), 2666–2680. https://doi.org/10.1093/nar/gky1299
Lei, J., Sheng, G., Cheung, P. P.-H., Wang, S., Li, Y., Gao, X., … Huang, X. (2018). Two symmetric arginine residues play distinct roles inThermus thermophilusArgonaute DNA guide strand-mediated DNA target cleavage. Proceedings of the National Academy of Sciences, 116(3), 845–853. https://doi.org/10.1073/pnas.1817041116
Alazmi, M., Kuwahara, H., Soufan, O., Ding, L., & Gao, X. (2018). Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions. Bioinformatics, 35(15), 2634–2643. https://doi.org/10.1093/bioinformatics/bty1035
Kleftogiannis, D., Ashoor, H., & Bajic, V. B. (2018). TELS: A Novel Computational Framework for Identifying Motif Signatures of Transcribed Enhancers. Genomics, Proteomics & Bioinformatics, 16(5), 332–341. https://doi.org/10.1016/j.gpb.2018.05.003
Akal, A. L., Karan, R., Hohl, A., Alam, I., Vogler, M., Grötzinger, S. W., … Rueping, M. (2018). A polyextremophilic alcohol dehydrogenase from the Atlantis II Deep Red Sea brine pool. FEBS Open Bio, 9(2), 194–205. https://doi.org/10.1002/2211-5463.12557
Dooley, D. M., Griffiths, E. J., Gosal, G. S., Buttigieg, P. L., Hoehndorf, R., Lange, M. C., … Hsiao, W. W. L. (2018). FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration. Npj Science of Food, 2(1). https://doi.org/10.1038/s41538-018-0032-6
Wang, P., Zhao, J., Zhang, X., Tao, J., & Guan, X. (2018). SNOD: a fast sampling method of exploring node orbit degrees for large graphs. Knowledge and Information Systems, 61(1), 301–326. https://doi.org/10.1007/s10115-018-1301-z
Almahasheer, H., Serrano, O., Duarte, C. M., & Irigoien, X. (2018). Remobilization of Heavy Metals by Mangrove Leaves. Frontiers in Marine Science, 5. https://doi.org/10.3389/fmars.2018.00484
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Garcias-Bonet, N., Fusi, M., Ali, M., Shaw, D. R., Saikaly, P. E., Daffonchio, D., & Duarte, C. M. (2018). High denitrification and anaerobic ammonium oxidation contributes to net nitrogen loss in a seagrass ecosystem in the central Red Sea. Biogeosciences, 15(23), 7333–7346. https://doi.org/10.5194/bg-15-7333-2018
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