出版空间以及编辑关注度的竞争异常激烈。将原稿投送给杂志编辑，附上一封信“原稿请见附件”是远远不够的。投稿信是你与拟投杂志直接交流的机会。除了写明你的研究与众不同外，还应直接向总编辑说明为什么你的发现很重要及其应该在此杂志上发表的理由。 投稿信应含有几个重要内容。具体内容可通过www.liwenbianji.cn/coverletter 链接下载。大家可根据批注中的建议起草你自己的投稿信，选择提出的句子类型替代括号中的句子。投稿信的格式几乎适用于所有投稿；当然，某些类别的论文需要加入额外的内容。例如，关于临床试验数据的存储信息通常需要附上一份临床试验报告，提供你的序列数据进入公共数据库的信息。 查阅目标杂志的《稿约》是每篇稿件的既定程序，其中很可能含有投稿信必须写入的内容。另外一个信息来源是杂志的投稿网页。尽管以下列出的内容以及关于“Edanz投稿信模版”中描述的内容不一定完全都是这些目标杂志所要求的，但所有这些都是投稿信中必不可少的，因为这样做可引起编辑对你的关注。以下方法适用于投稿信的撰写： • 一些杂志根据其刊出文章领域的不同进行编辑分工，你可以根据不同的领域，有时也可根据编辑的专业背景选择最合适的编辑。直接称呼收信编辑，如：“Dear Dr. Smith”。如果不能找到合适的编辑，可将投稿信写给总编辑。 • 信的开头应写出文章题目，希望文章在杂志的哪一个栏目或作为哪一个文章类别发表，以及投稿杂志的名称。 • 之后简单叙述研究背景与理论基础，说明研究目的以及开展的工作。然后简单描述研究成果。 • 接下来的段落很重要。你需要向研究界解释你的发现的意义，特别是对杂志读者的意义。如果你不能解释为什么该杂志读者会对你的发现感兴趣，你需要选择另一家更合适的刊物，因为编辑只将他们认为会引起读者兴趣的文章送同行评议。研究一下你准备投稿杂志的“目标与刊出范围”会对你有帮助。 • 投稿信的最后一段应包含杂志所要求的声明或说明。这些通常包括关于利益冲突、基金资助与资助来源的声明，以及所有作者已阅读过并同意文章的内容以及未一稿多投的声明。每个作者的作者资格确认也是需要的。 • 最后，留下详细的通讯方式以及礼貌的结束语。 示例： 英文原文 The cover letter: your sales pitch Competition for publication space and for editors’ attention is now very high, and it is no longer sufficient to send a manuscript to a journal editor along with a letter saying little more than “please find my manuscript attached”. The cover letter is your opportunity to directly address the editor of your target journal. It can be used to set your study apart from others and directly explain to the editor why your findings are important and why they should be published in their journal. There are a number of important components of a cover letter, all of which should be included. These components are described in detail in Edanz Cover Letter Template, which is shown on the following page and can be downloaded from: www.liwenbianji.cn/coverletter. This template can be used to develop your own cover letters by following the suggestions in the comments and replacing the bracketed sentences with the types of sentences explained. The format of this letter is applicable for most if not all submissions, although additional sections may be required for some types of paper; for example, information about deposition of clinical trial data would most likely need to accompany a report of a clinical trial, and information about the deposition of sequence data into public databases would possibly need to be provided where such data has been obtained. As always, the target journal’s instructions to authors should be consulted; these will most likely outline the information that absolutely must be included in the cover letter. Another source of this information is the journal’s submission webpages. Although not all of the components listed below and described in the cover letter template will be described as required on the target journal’s webpages, all should be included in your letter, because to do so will increase your chances of grabbing the editor’s attention. The following principles apply to cover letter development: • Some journals have different editors for the different areas of research the journal covers and you can choose the most appropriate one based on area and occasionally also editor profiles. Address your letter personally to the appropriate editor, e.g., “Dear Dr. Smith”. If one cannot be readily identified, address your letter to the editor-in-chief. • Begin by providing the title of your manuscript, the section/publication type you would like to see it published as, and the name of the journal you are submitting it to. • You then need to provide a very brief background and rationale for your study, explaining why you did what you did. This can be followed by a brief description of the results. • The following paragraph is very important. You will need to explain the significance of your findings to the research community, and specifically to the readers of your target journal. If you find it difficult to explain why the readers of that journal would be interested in your findings, then you may need to select a more appropriate journal. Editors will only send papers to review that they think will be of interest to their readers. Studying the ‘aims and scope’ of your chosen journal might help with this. • The last paragraph of the letter should contain any statements or declarations required by the target journal. These usually include declarations of any conflicts of interest, grant support or other sources of funding, a statement that all authors have read and approved the manuscript and a statement that the same manuscript has not been submitted elsewhere. Confirmation of each author’s qualification for authorship may also be required. • Finally, include details for correspondence and a polite farewell. Example: Dr Daniel McGowan 分子神经学博士 理文编辑学术总监
尽管国内的网络相当自由，但偶尔还会有该页无法显示的情况， 习惯了GOOGLE浏览器和GOOGLE搜索，即使因为连续搜索会屏蔽一会儿，也心甘情愿的等着， 人家能砸倒现实的墙，我现在却找不到翻越网络这堵墙的工具， 喜欢在TIME上搜索一些关于教宗的报道和照片，刚才看到一条，却打不开，挺着急。 Pope Benedict - The Top 10 Everything of 2011 点击链接后 —————————— 贴出全文，感谢网友 anonymity Top 10 Apologies 10. Pope Benedict By Feifei Sun Wednesday, Dec. 07, 2011 A quarter-century after his predecessor, John Paul II, established the World Day of Prayer for Peace, Pope Benedict returned to Assisi on Oct. 27 for an interfaith gathering with 300 leaders. In his address, Benedict apologized for Christians' use of violence throughout history in growing their faith, including holy wars, inquisitions and crusades. "We acknowledge it with great shame. But it is utterly clear that this was an abuse of the Christian faith, one that evidently contradicts its true nature," he said, in one of the few instances when a sitting Pope has acknowledged and apologized for such behavior. ——————
About Us | News | Membership | Conferences | Education | Publications | Aliances Consortium | Contact Membership http://www.issb.org/membership.html http://www.bioss.uni-freiburg.de/cms/589.html Zur Navigation springen Zum Inhalt springen !-- -- Language: !-- Startseite Newsroom Medienecho Pressemitteilungen Videos Downloads Veranstaltungen Forschungsprogramm Bioss Area A Bioss Area B BIOSS Area C Bioss Area D Pathway Assembler 4-D-Analyser Incubator Incubator Team Synthetische Biologie SynBiol-Forschung Analyse durch Synthese Design Soz-Eth.Fragestellungen SynBio News Toolbox Publikationen 2010 2009 2008 People Gender + Career Wiss. Nachwuchs Stellenangebote Kontakt Impressum -- Startseite Newsroom Medienecho Pressemitteilungen Videos Downloads Veranstaltungen Forschungsprogramm Bioss Area A Bioss Area B BIOSS Area C Bioss Area D Pathway Assembler 4-D-Analyser Incubator Incubator Team Synthetische Biologie SynBiol-Forschung Analyse durch Synthese Design Soz-Eth.Fragestellungen SynBio News Toolbox Publikationen 2010 2009 2008 People Gender + Career Wiss. Nachwuchs Stellenangebote Kontakt Impressum Passwort vergessen? Registrierung Tragen Sie bitte Ihre E-Mail-Adresse ein um ein neues Passwort zu erhalten: if (document.loginfrm) document.loginfrm.username.focus(); Gefrdert durch: Mathematical modeling and quantitative analysis of cell signaling networks Cell signaling networks involve complicated dynamic processes that are important for cell decisions-making such as proliferation, differentiation and apoptosis. Our group aims at studying the principles of cell signaling by merging prior knowledge with quantitative experimental and mathematical modeling analyses. In particularly, we are interested in the transforming growth factor beta (TGF-beta) signal, which is the cytokine that has a dual role in regulating various cellular processes, such as cell growth, differentiation and tumorigenesis 1 . The principal molecular components of TGF-beta signaling have been identified, yet relative little is known about how the TGF-beta signal is translated into different biological responses in different cell context. We have developed mathematical models for canonical TGF-beta/Smad signaling dynamics based on quantitative experimental data sets 2,3 . Recently our modeling and experimental analyses revealed that short-term TGF-beta signaling responses are graded, but long-term signaling responses are ultrasensitive (switch-like), which suggests that long-term switch-like signaling responses might be critical for TGF-beta mediated cell fate determination 3 . Our long-term goal is to study how individual components of TGF-beta pathway work together as a system to make cell fate decisions, for example, cell growth inhibition and epithelial-mesenchymal transition (EMT). Other ongoing projects in our lab include the mathematical modeling of T cell, B cell receptor and mTOR signaling pathways. Shi Y, Massague J (2003) Mechanisms of TGF-beta signaling from cell membrane to the nucleus. Cell 113: 685–700 Zi Z, Klipp E. (2007) Constraint-based modeling and kinetic analysis of the Smad dependent TGF-beta signaling pathway. PLoS One. 2:e936 Zi Z, Feng Z, Chapnick DA, Dahl M, Deng D, Klipp E, Moustakas A and Liu X. (2011) Quantitative analysis of transient and sustained transforming growth factor-beta signaling dynamics. Molecular Systems Biology. 7:492 Publications Z. Zi (2011). Sensitivity analysis approaches applied to systems biology models. IET Systems Biology, in press M. . Adrover*, Z. Zi *, A. Duch, J. Schaber, A. González-Novo, J. Jimenez, M. Nadal-Ribelles, J. Clotet, E. Klipp, F. Posas. (2011) Time-dependent quantitative multicomponent control of the G1-S network by the stress-activated protein kinase Hog1 upon osmostress. Science Signaling. 4, ra63 . (*These authors contributed equally to this work.) Zi Z a,* , Feng Z a , Chapnick DA, Dahl M, Deng D, Klipp E, Moustakas A and Liu X * . (2011) Quantitative analysis of transient and sustained transforming growth factor-beta signaling dynamics. Molecular Systems Biology. 7:492 ( a These authors contributed equally to this work, * Corresponding authors) Zi Z . (2011) SBML-PET-MPI: a parallel parameter estimation tool for Systems Biology Markup Language based models. Bioinformatics. 27:1028-9. Zi Z * , Liebermeister W, Klipp E * . (2010) A quantitative study of the Hog1 MAPK response to fluctuating osmotic stress in Saccharomyces cerevisiae. PLoS One. 5:e9522. (* Corresponding authors) Zi Z , Zheng Y, Rundell AE, Klipp E. (2008) SBML-SAT: a systems biology markup language (SBML) based sensitivity analysis tool. BMC Bioinformatics. 9:342. Zi Z , Klipp E. (2007) Constraint-based modeling and kinetic analysis of the Smad dependent TGF-beta signaling pathway. PLoS One. 2:e936. Zi Z , Klipp E. (2007) Cellular signaling is potentially regulated by cell density in receptor trafficking networks. FEBS Lett. 581:4589-95. Zi Z , Klipp E. (2006) SBML-PET: a Systems Biology Markup Language-based parameter estimation tool. Bioinformatics. 22:2704-5. Zi Z , Cho KH, Sung MH, Xia X, Zheng J, Sun Z., (2005) In silico identification of the key components and steps in IFN-gamma induced JAK-STAT signaling pathway. FEBS Lett. 579:1101-8. Groups Department of Biology, Humboldt-Universitt zu Berlin http://www.biologie.hu-berlin.de/ Zentrum für BioPhysik und BioInformatik (BPI), Humboldt-Universitt zu Berlin http://www.biologie.hu-berlin.de/%7EBPI/ Institute for Theoretial Biology, Humboldt-Universitt zu Berlin - Hanspeter Herzel, Peter Hammerstein http://itb.biologie.hu-berlin.de/ Computational Systems Biochemistry, Charité - Universittmedizin, Berlin - Hermann-Georg Holzhütter http://www.charite.de/sysbio/people/hergo/ Mathematial Modelling and Systems Biology, University of Potsdam - Wilhelm Huisinga http://compphysiol.math.uni-potsdam.de/cms/default/rubrik/2/2995.compphysiol.htm Department of Cell and Molecular Biology/Microbiology, University of Gothenburg - Stefan Hohmann http://www.gmm.gu.se/groups/hohmann/ Cell Systems Modelling, Oxford Brookes University - David Fell http://www.brookes.ac.uk/res/experts/profiles/david_fell Centre for Integrative Systems Biology, University of Manchester - Hans Westerhoff http://www.mcisb.org/people/index.html Graduate Program in Bioinformatics, Boston University http://www.bu.edu/bioinformatics Bioinformatics Center, University of Kyoto http://www.bic.kyoto-u.ac.jp/ Databases EMBL Nucleotide Sequence Database http://www.ebi.ac.uk/embl GenBank - all known nucleotide and protein sequences http://www.ncbi.nlm.nih.gov/Genbank/GenbankOverview.html Kyoto Encyclopedia of Genes and Genomes (KEGG) http://www.genome.ad.jp/kegg Protein Data Bank (PDB) - structure data determined by X-ray crystallography and NMR http://www.rcsb.org/pdb http://www2.hu-berlin.de/biologie/theorybp/index.php?goto=cv_klipp Prof. Dr. Dr. h.c. EddaKlipp edda.klipp rz.hu-berlin.de homepage +49 30 2093 9040 Prof. Dr. Dr. h.c. Edda Klipp Humboldt-Universitt zu Berlin Department of Biology Theoretical Biophysics Invalidenstrae 42 D-10115 Berlin (Germany) phone: +49 30 2093 8698 fax: +49 30 2093 8813 e-mail: edda.klipp rz.hu-berlin.de Scientific career 2011 - Spokesperson for the Research Training Group "Computational Systems Biology" 2010 - Member of the prearrangment committee of the "Excellence Initiative" 2009 Doctor honoris causa, University of Gothenburg (Sweden) 2008 - Professor for Theoretical Biophysics, Humboldt-Universitt zu Berlin, Department of Biology 2007 - 2008 Guest professorship for Theoretical Biophysics, Humboldt-Universitt zu Berlin, Department of Biology 2006 - 2008 Head of the Research Group „Computational Systems Biology", Max Planck Institute for Molecular Genetics, Otto Warburg Laboratory 2001 - 2006 Group leader of the Junior Research Group „Kinetic Modeling", Max Planck Institute for Molecular Genetics, Department of Vertebrate Genomics, group of Prof. Hans Lehrach, and Berlin Center for Genome Based Bioinformatics (BCB) 1997 - 2001 Research scientist, Humboldt-Universitt zu Berlin, Department of Biology, Theoretical Biophysics 1996 - 1997 Postdoc, Charité Berlin, Innovationskolleg Theoretical Biology, group of Prof. Hanspeter Herzel 1995 - 1996 Postdoc, Humboldt-Universitt zu Berlin, Department of Biology, TBP/ITB??? 1990 - 1994 PhD thesis (Dr. rer. nat.) in Theoretical Biophysics: "Calculation of optimal kinetic parameters of enzymatic processes based on special reaction mechanisms". At Humboldt-Universitt zu Berlin, supervisor: Prof. Dr. R. Heinrich. 1985 - 1990 Study at the Humboldt-Universitt zu Berlin, Department of Biology, Diploma in Biophysics: "Berechnungen kinetischer Konstanten monomolekularer enzymatischer Reaktionen in den Zustnden maximaler Aktivitt unter Berücksichtigung spezieller Reaktionsmechanismen". Supervisor: Prof. Dr. R. Heinrich. Research profile Mathematical modelling of dynamic biological phenomena. The group is involved in multi-disciplinary research projects to understand cellular organization, cellular processes, stress response, and decision making. Using yeast Saccharomyces cerevisiae as major model organism, we develop predictive models of various signalling pathways, metabolic pathways, cell cycle and the interaction of such pathways upon environmental changes. They closely collaborate with various experimental groups for iterative modelling and experimentation. The mathematical methods include ordinary and partial differential equations, Boolean and Bayesian networks, deterministic and stochastic simulations as well as various aspects of dynamic systems theory. They also develop computational tools for the processing of such models, including parameter estimation, sensitivity analysis and semantic assignments. Klipp is involved in various initiatives for standardization both of mathematical models and respective experimentation. She is founding member of the International Society of Systems Biology, member of several scientific advisory boards for systems biology consortia (Reactome, RoBust, Crisp), co-organiser of FEBS Advanced Lecture Courses in Systems Biology (2007, 2009), and PI in several European and national research consortia for systems biology. Information about... ... education of students you find under Teaching ... mentoring of students and PhD students you find under Theses ... research and third party funding you find under Research ... and about Publications Cufon.now();
http://www.ptable.com/ 比如， 比如改变那个温度拖拽条，你可以看在某个温度下，那些是固体，那些是液体。 再比如， 可以自己定义物理性质看是否有元素满足。 比如你可以指定沸点，电负性，硬度，半径，等等... A small tutorial: http://www.youtube.com/watch?v=EX56SP-lTHchd=1
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