Genomics, Proteomics & Bioinformatics(GPB; ISSN 1672-0229, CN 11-4926/Q), a peer-reviewed international journal in English, is sponsored by Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China, and jointly published by Elsevier and Science Press bi-monthly. GPB will be Open Access in 2013. The publications of the journal are high-quality papers from all over the world in the fields of genomics, proteomics, and bioinformatics. For manuscripts submitted to GPB,direct rejection, direct acceptance or further review will be decided within 5 days. Besides, GPB offers Article-in-Press, by which all the accepted manuscripts can be available online ahead of its printed issue print for fast dissemination. Genomics: functional genomics, evolutionary genomics, comparative genomics, epigenetics, transcriptomics Proteomics: protein expression profiling, protein complexes in terms of structure, function, properties and interactions, metabolomics Bioinformatics: genome analysis, sequence analysis, genetic and population analysis, phylogenetics, gene expression, database, web server, algorithm, tools and software, with emphasis on large-scale data analysis based on high-throughput sequencing technologies GPB welcomes submissions from all over the world in the following types: High-quality research papers presenting novel data and ideas Papers describing innovative methods, tools and techniques as well as resources providing primary scientific information to a broad readership Comprehensive reviews either as full articles or mini-reviews related with author's own research Commentaries and opinions about new discoveries, scientific policies, and research proposals
基因组学、蛋白质组学与生物信息学(GPB;《ISSN 1672-0229, CN 11-4926/Q》是由中国科学院北京基因组研究所、中国遗传学学会主办,爱思唯尔与科学出版社双月刊联合出版的英文国际期刊。GPB将于2013年开放。 该杂志的出版物是来自世界各地在基因组学、蛋白质组学和生物信息学领域的高质量论文。对于提交给GPB的稿件,将在5天内作出直接拒收、直接接受或进一步审核的决定。此外,GPB还提供印刷稿件,所有被接受的稿件都可以在印刷前在线获得,以便快速传播。 基因组学: 功能基因组学,进化基因组学,比较基因组学,表观遗传学,转录组学 蛋白质组学: 蛋白质表达谱,蛋白质复合物的结构,功能,性质和相互作用,代谢组学 生物信息学: 基因组分析、序列分析、遗传与群体分析、系统遗传学、基因表达、数据库、web服务器、算法、工具和软件,重点研究基于高通量测序技术的大规模数据分析 城规会欢迎世界各地提交下列类别的意见书: 高质量的研究论文,呈现新颖的数据和想法 描述创新方法、工具和技术的论文,以及为广大读者提供主要科学信息的资源 综合评论可以是完整的文章,也可以是与作者研究相关的小评论 对新发现、科学政策和研究建议的评论和意见
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