المؤلفون: Laiolo, Elisa, Alam, Intikhab, Uludag, Mahmut, Jamil, Tahira, Agustí, Susana, Gojobori, Takashi, Acinas, Silvia G., Gasol, Josep M., Duarte, Carlos M.

المساهمون: Agencia Estatal de Investigación (España), King Abdullah University of Science and Technology

مصطلحات موضوعية: Shotgun metagenomics, Microbes, Ocean gene catalog, Biodiversity, Ocean domains, Functional genomics, Biogeochemical cycling, Conserve and sustainably use the oceans, seas and marine resources for sustainable development

العلاقة: Publisher's version; https://doi.org/10.3389/fsci.2023.1038696Test; Sí; Frontiers in Science 1: 1038696 (2024); CEX2019-000928-S; http://hdl.handle.net/10261/348177Test

الإتاحة: https://doi.org/10.3389/fsci.2023.1038696Test
http://hdl.handle.net/10261/348177Test

المؤلفون: Laiolo, Elisa, Alam, Intikhab, Uludag, Mahmut, Jamil, Tahira, Agusti, Susana, Gojobori, Takashi, Acinas, Silvia G., Gasol, Josep M., Duarte, Carlos M.

المصدر: Frontiers in Science ; volume 2 ; ISSN 2813-6330

الإتاحة: https://doi.org/10.3389/fsci.2024.1411573Test

المؤلفون: Laiolo, Elisa, Alam, Intikhab, Uludag, Mahmut, Jamil, Tahira, Agusti, Susana, Gojobori, Takashi, Acinas, Silvia G., Gasol, Josep M., Duarte, Carlos M.

المصدر: Frontiers for Young Minds ; volume 11 ; ISSN 2296-6846

مصطلحات موضوعية: General Medicine

الإتاحة: https://doi.org/10.3389/frym.2023.1052361Test

المؤلفون: Thafar, Maha A, Albaradei, Somayah, Uludag, Mahmut, Alshahrani, Mona, Gojobori, Takashi, Essack, Magbubah, Gao, Xin

المساهمون: Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Computational Bioscience Research Center, Computer (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia., Computer Science Program, Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), Bioscience Program, Biological and Environmental Science and Engineering (BESE) Division, College of Computers and Information Technology, Computer Science Department, Taif University, Taif, Saudi Arabia., Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia., National Center for Artificial Intelligence (NCAI), Saudi Data and Artificial Intelligence Authority (SDAIA), Riyadh, Saudi Arabia.

مصطلحات موضوعية: Lung cancer, Bioinformatics, Colon cancer, Machine Learning, Target Identification, Omics, Sequence Embedding, Deep Neural Network

وصف الملف: application/pdf

العلاقة: https://www.frontiersin.org/articles/10.3389/fgene.2023.1139626/fullTest; Thafar, M. A., Albaradei, S., Uludag, M., Alshahrani, M., Gojobori, T., Essack, M., & Gao, X. (2023). OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features. Frontiers in Genetics, 14. https://doi.org/10.3389/fgene.2023.1139626Test; 2-s2.0-85153484223; Frontiers in genetics; PMC10117673; http://hdl.handle.net/10754/691396Test; 14

الإتاحة: https://doi.org/10.3389/fgene.2023.1139626Test
http://hdl.handle.net/10754/691396Test

المؤلفون: Kafkas, Senay, Abdelhakim, Marwa, Uludag, Mahmut, Althagafi, Azza Th., Alghamdi, Malak, Hoehndorf, Robert

المساهمون: Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, 23955, Thuwal, Saudi Arabia, Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Computer Science Program, Computer Science Department, College of Computers and Information Technology, Taif University, 21655, Taif, Saudi Arabia, Medical Genetic Division, Department of Pediatrics, College of Medicine, King Saud University, 2925, Riyadh, Saudi Arabia

وصف الملف: application/pdf; application/zip

العلاقة: github:bio-ontology-research-group/STARVar; https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-023-05406-wTest; Kafkas, Șenay, Abdelhakim, M., Uludag, M., Althagafi, A., Alghamdi, M., & Hoehndorf, R. (2023). Starvar: symptom-based tool for automatic ranking of variants using evidence from literature and genomes. BMC Bioinformatics, 24(1). https://doi.org/10.1186/s12859-023-05406-wTest; BMC Bioinformatics; http://hdl.handle.net/10754/693155Test; 24

الإتاحة: https://doi.org/10.1186/s12859-023-05406-wTest
http://hdl.handle.net/10754/693155Test

المؤلفون: Bajić, Vladan P., Salhi, Adil, Lakota, Katja, Radovanović, Aleksandar, Razali, Rozaimi, Živković, Lada, Spremo-Potparević, Biljana, Uludag, Mahmut, Tifratene, Faroug, Motwalli, Olaa, Marchand, Benoit, Bajić, Vladimir, Gojobori, Takashi, Isenović, Esma R., Essack, Magbubah

المصدر: PLoS ONE

العلاقة: Ministry of Education, Science and Technological Development, Republic of Serbia; KAUST [Grant No. OSR#4129]; KAUST Base Research Fund [BAS/1/1606-01-01]; KAUST Office of Sponsored Research (OSR) [Grant no. FCC/1/1976-20-01]; (KAUST) Base Research Fund [BAS/1/1059-01-01]; https://vinar.vin.bg.ac.rs/handle/123456789/10387Test; 2-s2.0-85135282245

الإتاحة: https://doi.org/10.1371/journal.pone.0271737Test
https://vinar.vin.bg.ac.rs/handle/123456789/10387Test

المؤلفون: Alshahrani, Mona, Almansour, Abdullah, Alkhaldi, Asma, Thafar, Maha A., Uludag, Mahmut, Essack, Magbubah, Hoehndorf, Robert

المساهمون: Bio-Ontology Research Group (BORG), Computational Bioscience Research Center (CBRC), Computer Science Program, Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, National Center for Artificial Intelligence (NCAI), Saudi Data and Artificial Intelligence Authority (SDAIA), Riyadh, Saudi Arabia, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

مصطلحات موضوعية: Biomedical Literature, Linked Data, Bio-ontologies, Multi-modal Learning, Drug-target Interactions, Biomedical Knowledge Graphs, Drug-Indications

وصف الملف: application/pdf

العلاقة: https://peerj.com/articles/13061Test; Alshahrani, M., Almansour, A., Alkhaldi, A., Thafar, M. A., Uludag, M., Essack, M., & Hoehndorf, R. (2022). Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications. PeerJ, 10, e13061. Portico. https://doi.org/10.7717/peerj.13061Test; PeerJ; e13061; PMC8988936; http://hdl.handle.net/10754/676306Test; 10

الإتاحة: https://doi.org/10.7717/peerj.13061Test
https://doi.org/10.5281/zenodo.6148694Test
http://hdl.handle.net/10754/676306Test

المؤلفون: Albaradei, Somayah, Albaradei, Abdurhman, Alsaedi, Asim, Uludag, Mahmut, Thafar, Maha A., Gojobori, Takashi, Essack, Magbubah, Gao, Xin

المساهمون: Biological and Environmental Science and Engineering (BESE) Division, Bioscience Program, Computational Bioscience Research Center (CBRC), Computer Science Program, Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Structural and Functional Bioinformatics Group, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia, Al-Hada Armed Forces Hospital, Taif, Saudi Arabia, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia, King Abdulaziz Medical City, Jeddah, Saudi Arabia, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

وصف الملف: application/pdf

العلاقة: https://www.frontiersin.org/articles/10.3389/fmolb.2022.913602/fullTest; Albaradei, S., Albaradei, A., Alsaedi, A., Uludag, M., Thafar, M. A., Gojobori, T., Essack, M., & Gao, X. (2022). MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data. Frontiers in Molecular Biosciences, 9. https://doi.org/10.3389/fmolb.2022.913602Test; Frontiers in Molecular Biosciences; http://hdl.handle.net/10754/679811Test

الإتاحة: https://doi.org/10.3389/fmolb.2022.913602Test
http://hdl.handle.net/10754/679811Test

المؤلفون: AlSaieedi, Ahdab, Salhi, Adil, Tifratene, Faroug, Raies, Arwa Bin, Hungler, Arnaud, Uludag, Mahmut, Van Neste, Christophe Marc, Bajic, Vladimir B., Gojobori, Takashi, Essack, Magbubah

المساهمون: Applied Mathematics and Computational Science Program, Biological and Environmental Science and Engineering (BESE) Division, Bioscience Program, Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Computer, Electrical, and Mathematical Sciences and Engineering Division (CEMSE), Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955‑6900, Saudi Arabia., Department of Medical Laboratory Technology (MLT), Faculty of Applied Medical Sciences (FAMS), King Abdulaziz University (KAU), Jeddah 21589‑80324, Saudi Arabia.

وصف الملف: application/pdf

العلاقة: http://www.nature.com/articles/s41598-021-93809-1Test; AlSaieedi, A., Salhi, A., Tifratene, F., Raies, A. B., Hungler, A., Uludag, M., … Essack, M. (2021). DES-Tcell is a knowledgebase for exploring immunology-related literature. Scientific Reports, 11(1). doi:10.1038/s41598-021-93809-1; Scientific Reports; http://hdl.handle.net/10754/670163Test; 11

الإتاحة: https://doi.org/10.1038/s41598-021-93809-1Test
http://hdl.handle.net/10754/670163Test

المؤلفون: Albaradei, Somayah, Uludag, Mahmut, Thafar, Maha A., Gojobori, Takashi, Essack, Magbubah, Gao, Xin

المساهمون: Biological and Environmental Science and Engineering (BESE) Division, Bioscience Program, Computational Bioscience Research Center (CBRC), Computer Science Program, Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Structural and Functional Bioinformatics Group, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia., College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.

وصف الملف: application/pdf

العلاقة: https://www.frontiersin.org/articles/10.3389/fgene.2021.771092/fullTest; Albaradei, S., Uludag, M., Thafar, M. A., Gojobori, T., Essack, M., & Gao, X. (2021). Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models. Frontiers in Genetics, 12. doi:10.3389/fgene.2021.771092; Frontiers in Genetics; http://hdl.handle.net/10754/673313Test; 12

الإتاحة: https://doi.org/10.3389/fgene.2021.771092Test
http://hdl.handle.net/10754/673313Test