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  • ISSN: 2374-0116
    Early Online
    Volume 3, Issue 1
    Editorial
    Huaizhen Qin* and Weiwei Ouyang
    The use of (generalized) linear regression is ubiquitous in genetic association studies of complex phenotypes. In this area, homoscedasticity is often assumed, namely, the variances of modelling errors are assumed to be invariant with respect to the effects being modelled.
    Short Communication
    David Smith*, Erko Stackebrandt, Serge Casaregola, Paolo Romano, and Frank Oliver Glöckner
    The Microbial Resource Research Infrastructure (MIRRI) stresses the importance of access to microbial data as well as to high quality microorganisms in the execution of sound science and innovative research and development. MIRRI’s mission is to remove fragmentation in resource and service availability and focus on fundamental needs and challenges that face the microbial domain Biological Resource Centres (mBRCs) and the user of microorganisms. MIRRI aims to provide a single access entry point to state-of-the-art microbial biological services and to expert and technical platforms to enable researchers to carry out in-house research on mBRC holdings. This requires improvement in the interoperability between mBRCs and overarching, as well as complementary data offers, and the implementation of quality management including standardised procedures, best practices and appropriate tools to increase the quality of the resources collected and their associated data as well as performed services. The MIRRI consortium currently comprises 16 partner and 28 collaborating parties from 19 countries across Europe and brings together data on microorganism holdings from all these centres. MIRRI partners follow common protocols on data management for mBRC holdings that will enable users to access the microorganisms‘yet unrecognised potential, deliver regulatory compliance and facilitate knowledge and technology transfer. One of the most fundamental problems of managing a collection of microorganisms is keeping pace with the taxonomy and resultant name changes being introduced for species. To overcome such problems MIRRI has produced a data policy and strategy in order to establish an integrated portal for mBRCs.
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