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您現(xiàn)在的位置是:首頁SCI期刊GENOMICS PROTEOMICS & BIOINFORMATICS(基因組學、蛋白質(zhì)組學和生物信息學)
GENOMICS PROTEOMICS & BIOINFORMATICS

GENOMICS PROTEOMICS & BIOINFORMATICS

基因組學、蛋白質(zhì)組學和生物信息學

1672-0229

GENOM PROTEOM BIOINF

0

37

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中文簡介

基因組學、蛋白質(zhì)組學與生物信息學(GPB;《ISSN 1672-0229, CN 11-4926/Q》是由中國科學院北京基因組研究所、中國遺傳學學會主辦,愛思唯爾與科學出版社雙月刊聯(lián)合出版的英文國際期刊。GPB將于2013年開放。該雜志的出版物是來自世界各地在基因組學、蛋白質(zhì)組學和生物信息學領(lǐng)域的高質(zhì)量論文。對于提交給GPB的稿件,將在5天內(nèi)作出直接拒收、直接接受或進一步審核的決定。此外,GPB還提供印刷稿件,所有被接受的稿件都可以在印刷前在線獲得,以便快速傳播。基因組學:功能基因組學,進化基因組學,比較基因組學,表觀遺傳學,轉(zhuǎn)錄組學蛋白質(zhì)組學:蛋白質(zhì)表達譜,蛋白質(zhì)復合物的結(jié)構(gòu),功能,性質(zhì)和相互作用,代謝組學生物信息學:基因組分析、序列分析、遺傳與群體分析、系統(tǒng)遺傳學、基因表達、數(shù)據(jù)庫、web服務器、算法、工具和軟件,重點研究基于高通量測序技術(shù)的大規(guī)模數(shù)據(jù)分析城規(guī)會歡迎世界各地提交下列類別的意見書:高質(zhì)量的研究論文,呈現(xiàn)新穎的數(shù)據(jù)和想法描述創(chuàng)新方法、工具和技術(shù)的論文,以及為廣大讀者提供主要科學信息的資源綜合評論可以是完整的文章,也可以是與作者研究相關(guān)的小評論對新發(fā)現(xiàn)、科學政策和研究建議的評論和意見

英文簡介

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

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