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作者机构:Univ Parma Dipartimento Sci Matemat Fis & Informat Parma Italy Univ Udine Dipartimento Sci Matemat Informat & Fis Udine Italy Univ Perugia Dipartimento Matemat & Informat Perugia Italy New Mexico State Univ Dept Comp Sci Las Cruces NM 88003 USA
出 版 物:《KUNSTLICHE INTELLIGENZ》 (人工智能)
年 卷 期:2018年第32卷第2-3期
页 面:157-164页
核心收录:
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:project GNCS project PRID UNIUD ENCASE project YASMIN project CLTP NSF [1458595, 1440911, 1401639, 1345232]
主 题:Answer set programming Bioinformatics
摘 要:We report on how the declarative nature of Answer Set Programming allows one to model and solve some well-known and challenging classes of problems in the general domain of bioinformatics. We briefly survey the main results appeared in the areas of genomics, structure prediction, and systems biology.