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ZCURVE 3.0: identify prokaryotic genes with higher accuracy as well as automatically and accurately select essential genes., , , , , and . Nucleic Acids Res., 43 (Webserver-Issue): W85-W90 (2015)Comprehensive review of the identification of essential genes using computational methods: focusing on feature implementation and assessment., , , , , , and . Briefings Bioinform., 21 (1): 171-181 (2020)Applications of four machine learning algorithms in identifying bacterial essential genes based on composition features., and . ChinaSIP, page 821-825. IEEE, (2015)IFIM: a database of integrated fitness information for microbial genes., , , , , and . Database J. Biol. Databases Curation, (2014)Guest Editorial for Special Section on the 7th National Conference on Bioinformatics and Systems Biology of China., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (4): 1262-1263 (2019)ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes., and . BMC Bioinform., (2006)CasPDB: an integrated and annotated database for Cas proteins from bacteria and archaea., , , , , , , and . Database J. Biol. Databases Curation, (2019)SSER: Species specific essential reactions database., , , , and . BMC Syst. Biol., 11 (1): 50:1-50:8 (2017)ACFIS: a web server for fragment-based drug discovery., , , , , , and . Nucleic Acids Res., 44 (Webserver-Issue): W550-W556 (2016)Phd7faster: Predicting Clones Propagating Faster from the pH.D.-7 phage Display peptide Library., , , , , and . J. Bioinform. Comput. Biol., (2014)