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  • 1
    Electronic Resource
    Electronic Resource
    Di- und Polyaminozucker, XXI. Synthese von Derivaten der 2,4-Diamino-2,3,4-tridesoxy-D-ribo-hexose (1975)
    Weinheim : Wiley-Blackwell
    Berichte der deutschen chemischen Gesellschaft 108 (1975), S. 3397-3411 
    Details
    ISSN: 0009-2940
    Keywords: Chemistry ; Inorganic Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Description / Table of Contents: Di-and Polyamino Sugars, XXI. Synthesis of Derivatives of 2,4-Diamino-2,3,4-trideoxy-D-ribo-hexoseStarting with D-glucose the title compound has been synthesized as its di-N-acetyl. -trifluoroacetyl and N,N′-bis(2,4-dinitrophenyl) derivative. The free sugar could not be obtained in a pure state.
    Notes: Die Titelverbindung wurde, ausgehend von D-Glucose, in Form ihres Di-N-acetyl-, -trifluoracetyl- und ihres N,N′-Bis(2,4-dinitrophenyl)-Derivates erhalten. Reindarstellung des freien Zuckers gelang nicht.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1002/cber.19751081031
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Benzamidinatokomplexe mit Haupt- und Nebengruppen-Elementen - Strukturen von PhC(NSiMe3)2TiCl2 und PhC(NSiMe3)2MoO2 (1988)
    Weinheim : Wiley-Blackwell
    Berichte der deutschen chemischen Gesellschaft 121 (1988), S. 1403-1406 
    Details
    ISSN: 0009-2940
    Keywords: Chemistry ; Inorganic Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Description / Table of Contents: Benzamidinato Complexes of Main Group and Transition Metals - Crystal Structures of PhC(NSiMe3)2TiCl2 and PhC3)2MoO2PhC(NSiMe3)2Li (3b) reacts with SiCl4, SnCl4, Me2SnCl2, Ph2SnCl2, TiCl4, ZrCl4, MoO2Cl2, and WO2Cl2 with formation of LiCl to yield the new amidinato complexes 4a-f, 5a and 5b. The X-ray structure analyses of 4e and 5a are reported.
    Notes: PhC(NSiMe3)2Li (3b) reagiert mit SiCl4, SnCl4, Me2SnCl2, Ph2SnCl2, TiCl4, ZrCl4, MoO2Cl2 und WO2Cl2 unter Bildung von LiCl zu den Amidinatokomplexen 4a-f, 5a und 5b. Von 4e und 5a wird die Röntgenstrukturanalyse mitgeteilt.
    Additional Material: 2 Ill.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1002/cber.19881210807
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Neue Bicyclen mit P(V)-P(III)-P(V)-Bindungen (1988)
    Weinheim : Wiley-Blackwell
    Berichte der deutschen chemischen Gesellschaft 121 (1988), S. 1681-1684 
    Details
    ISSN: 0009-2940
    Keywords: Chemistry ; Inorganic Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Notes: A New Bicyclic System with a P(V)-P (III)-P(V) UnitPhCN2(SiMe3)3 (1) reacts with PhPCl2 in a molar ratio of 2:3 to give the bicyclic system 2 with a P(V)-P(III)-P(V) unit, characterized by an X-ray structure analysis. Dichlorophenylphosphane reacts with [Me2NC(NH2)2]Cl (3) to form 4. The reaction of Me2NCN with LiN(SiMe3)2 and PhPCl2 yields 5 containing a P(V)-P(III)-P(III)-P(V) chain.
    Additional Material: 1 Ill.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1002/cber.19881210922
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  • 4
    Electronic Resource
    Electronic Resource
    Darstellung von Dithiatetrazocinen und Folgereaktionen (1989)
    Weinheim : Wiley-Blackwell
    Berichte der deutschen chemischen Gesellschaft 122 (1989), S. 1067-1070 
    Details
    ISSN: 0009-2940
    Keywords: Dithiatetrazocine derivatives ; S—N—C systems ; 1,2,3,5-Dithiadiazolium salts ; Chemistry ; Inorganic Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Description / Table of Contents: Preparation of Dithiatetrazocine and Secondary ReactionsLi[PhCN2(SiMe3)2] (1) or PhCN2(SiMe3)3 (3) react with SCl2 to give in good yields the dithiatetrazocine PhC(NSN)2CPh (2). By analogy, p-MeC6H4C(NSN)2CC6H4Me-p (7), p-NO2C6H4C(NSN)2-CC6H4NO2-p (8), and p-CF3C6H4C(NSN)2CC6H4CF3-p (9) are obtained from the reaction of p-MeC6H4CN2(SiMe3)3 (4), Li[p-NO2-C6H4CN2(SiMe3)2] (5), und Li[p-CF3C6H4CN2(SiMe3)2] (6) with SCl2. Reaction of 2/LiCl with AgAsF6 in liquid SO2 leads to [PhCN2S2]+[AsF6]- (10) and 3[PhCN2S2]+2[AsF6]-Cl- (11). The structures of 10 and 11 are confirmed by X-ray analyses.
    Notes: Aus Li[PhCN2(SiMe3)2] (1) oder PhCN2(SiMe3)3 (3) und SCl2 wird das Dithiatetrazocin PhC(NSN)2CPh (2) in guter Ausbeute erhalten. Entsprechend gewinnt man aus p-MeC6H4CN2(SiMe3)3 (4), Li[p-NO2C6H4CN2(SiMe3)2] (5) und Li[p-NO2C6H4CN2(SiMe3)2] (6) mit SCl2 die Verbindungen p-MeC6H4C(NSN)2CC6H4Me-p (7), p-NO2C6H4C(NSN)2CC6H4NO2-p (8) und p-CF3C6H4C(NSN)2-CC6H4CF3-p (9). Die Reaktion von 2/LiCl mit AgAsF6 in flüssigem SO2 ergibt [PhCN2S2]+[AsF6]- (10) und 3[PhCN2-S2]+2[AsF6]-Cl- (11). Die Einkristallstrukturen von 10 und 11 werden mitgeteilt.
    Additional Material: 3 Ill.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1002/cber.19891220609
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  • 5
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    OPTIMAS-DW: A comprehensive transcriptomics, metabolomics, ionomics, proteomics and phenomics data resource for maize (2012)
    BioMed Central
    Details
    Publication Date: 2012-12-30
    Description: Background: Maize is a major crop plant, grown for human and animal nutrition, as well as a renewable resource forbioenergy. When looking at the problems of limited fossil fuels, the growth of the world's population or theworld's climate change, it is important to find ways to increase the yield and biomass of maize and to studyhow it reacts to specific abiotic and biotic stress situations. Within the OPTIMAS systems biology projectmaize plants were grown under a large set of controlled stress conditions, phenotypically characterised andplant material was harvested to analyse the effect of specific environmental conditions or developmentalstages. Transcriptomic, metabolomic, ionomic and proteomic parameters were measured from the same plantmaterial allowing the comparison of results across different omics domains. A data warehouse wasDescriptionThe OPTIMAS Data Warehouse (OPTIMAS-DW) is a comprehensive data collection for maize and integratesdata from different data domains such as transcriptomics, metabolomics, ionomics, proteomics andphenomics. Within the OPTIMAS project, a 44K oligo chip was designed and annotated to describe thefunctions of the selected unigenes. Several treatment- and plant growth stage experiments were performed andmeasured data were filled into data templates and imported into the data warehouse by a Java based importtool. A web interface allows users to browse through all stored experiment data in OPTIMAS-DW includingall data domains. Furthermore, the user can filter the data to extract information of particular interest. All datacan be exported into different file formats for further data analysis and visualisation. The data analysisintegrates data from different data domains and enables the user to find answers to different systems biologyquestions. Finally, maize specific pathway information is provided. Conclusions: With OPTIMAS-DW a data warehouse for maize was established, which is able to handle different datadomains, comprises several analysis results that will support researchers within their work and supportssystems biological research in particular. The system is available athttp://www.optimas-bioenergy.org/optimas_dw.
    Electronic ISSN: 1471-2229
    Topics: Biology
    Published by BioMed Central
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    PAPER CURRENT
  • 6
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    The de.NBI / ELIXIR-DE training platform - Bioinformatics training in Germany and across Europe within ELIXIR (2019)
    F1000 Research Ltd
    In:  EPIC3F1000Research, F1000 Research Ltd, 8, pp. 1877-1877, ISSN: 2046-1402
    Details
    Publication Date: 2023-06-21
    Description: 〈ns4:p〉The German Network for Bioinformatics Infrastructure (de.NBI) is a national and academic infrastructure funded by the German Federal Ministry of Education and Research (BMBF). The de.NBI provides (i) service, (ii) training, and (iii) cloud computing to users in life sciences research and biomedicine in Germany and Europe and (iv) fosters the cooperation of the German bioinformatics community with international network structures. The de.NBI members also run the German node (ELIXIR-DE) within the European ELIXIR infrastructure. The de.NBI / ELIXIR-DE training platform, also known as special interest group 3 (SIG 3) ‘Training & Education’, coordinates the bioinformatics training of de.NBI and the German ELIXIR node. The network provides a high-quality, coherent, timely, and impactful training program across its eight service centers. Life scientists learn how to handle and analyze biological big data more effectively by applying tools, standards and compute services provided by de.NBI. Since 2015, more than 300 training courses were carried out with about 6,000 participants and these courses received recommendation rates of almost 90% (status as of July 2020). In addition to face-to-face training courses, online training was introduced on the de.NBI website in 2016 and guidelines for the preparation of e-learning material were established in 2018. In 2016, ELIXIR-DE joined the ELIXIR training platform. Here, the de.NBI / ELIXIR-DE training platform collaborates with ELIXIR in training activities, advertising training courses via TeSS and discussions on the exchange of data for training events essential for quality assessment on both the technical and administrative levels. The de.NBI training program trained thousands of scientists from Germany and beyond in many different areas of bioinformatics.〈/ns4:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
    Format: application/pdf
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  • 7
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    Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases (2021)
    Oxford University Press (OUP)
    In:  EPIC3Briefings in Bioinformatics, Oxford University Press (OUP), 22(5), pp. bbab010-, ISSN: 1467-5463
    Details
    Publication Date: 2023-06-21
    Description: 〈jats:title〉Abstract〈/jats:title〉 〈jats:p〉This article describes some use case studies and self-assessments of FAIR status of de.NBI services to illustrate the challenges and requirements for the definition of the needs of adhering to the FAIR (findable, accessible, interoperable and reusable) data principles in a large distributed bioinformatics infrastructure. We address the challenge of heterogeneity of wet lab technologies, data, metadata, software, computational workflows and the levels of implementation and monitoring of FAIR principles within the different bioinformatics sub-disciplines joint in de.NBI. On the one hand, this broad service landscape and the excellent network of experts are a strong basis for the development of useful research data management plans. On the other hand, the large number of tools and techniques maintained by distributed teams renders FAIR compliance challenging.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
    Format: application/pdf
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