GENOMICS PROTEOMICS & BIOINFORMATICS

英文简介

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, transcriptomicsProteomics: protein expression profiling, protein complexes in terms of structure, function, properties and interactions, metabolomicsBioinformatics: 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 technologiesGPB welcomes submissions from all over the world in the following types:High-quality research papers presenting novel data and ideasPapers describing innovative methods, tools and techniques as well as resources providing primary scientific information to a broad readershipComprehensive reviews either as full articles or mini-reviews related with author's own researchCommentaries and opinions about new discoveries, scientific policies, and research proposals

中文简介

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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