Inext Dissertation

iNEXT course: “X-ray and neutron diffraction studies of macromolecules: from data collection to structures” (May 15-May 19, 2017)

We are pleased to announce our iNEXT course: “X-ray and neutron diffraction studies of macromolecules: from data collection to structures”. This intensive course is organized from May-15 to May-19, 2017 at the Faculty of Biochemistry and Molecular Medicine, University of Oulu in Oulu, Finland. It is organized in the context of the iNEXT Horizon2020 project (http://www.inext-eu.org ), together with Diamond (Oxford, UK), Biocenter Oulu and the Health and Biosciences Doctoral Programme of the University of Oulu. The course will include an introduction on the methods of protein crystallography (Rupp), neutron crystallography (Oksanen/Podjarny) and SAXS/SANS-approaches (Svergun). Also data collection at synchrotrons (Thunnissen), new perspectives when using the new long-wavelength beamline at Diamond (Wagner) and when using XFEL-technology (Hajdu) will be addressed. Tutorials include the validation tools of the PDB-deposition server (Rupp), as well as data processing (DIALS, Waterman; XDS, Rower), experimental phasing (SHELX, Gruene),  molecular replacement phasing (CCP4, Lebedev) and neutron structure refinement (Oksanen, Podjarny). Remote data collection (Diamond, Aller, Powell) of crystals from participating students is scheduled for the last day of the course. The course provides extensive opportunities for the students to work with the presented software in our Linux class room and to interact with the expert teachers.

Students are encouraged to sent crystals in advance, which will then be shipped to Diamond, for remote X-ray data collection. Students are also encouraged to bring their own raw X-ray data images which are difficult to process or their own X-ray data sets for which molecular replacement calculations have turned out to be difficult.

There is no registration fee and we aim to cover also the accommodation costs and meals of the students. Application for the course can be sent in January and the deadline is 19.02.2017. The course is aimed at PhD students and postdocs working on structural biology projects using X-ray or neutron diffraction methods. The application should include a motivation letter and a letter from the supervisor.

Course program:

See the final programme here (PDF).

Venue:

Faculty of Biochemistry and Molecular Medicine, Kontinkangas, Oulu, Finland.

Enquiries:

Rik Wierenga ( rik.wierenga(at)oulu.fi )
Lari Lehtiö ( lari.lehtio(at)oulu.fi )

Local Organisers:

Rik Wierenga
Lari Lehtiö
Tiila-Riikka Kiema
Gabriele Cordara
Kristian Koski

~ 100 Master Theses;  22  Ph.D. Theses

Ph.D Theses:

Lee, S-M (1990) Estimating population size for closed capture-recapture models via sample coverage. (Feng-Chia University)

Ma, M-C (1992) Stopping rule and estimation for recapture debugging with unequal detection rates. (National Cheng-Kung University)

Hwang, W. D. (1992) Quantifying the effects of unequal catchabilities on Jolly-Seber estimators. (National Cheng-Kung University)

Chu, W-T (1995) A unified martingale estimation approach to estimating parameters of time-specific model. (Feng-Chia University)

Chen, Y-C (1996) The estimation of population size for capture-recapture experiments under Pollock’s robust design. (Chia-Nan College of Pharmacy and Science)

Hwang, Wen-Han (1997) Estimating population Size for continuous time capture-recapture experiments. (National Chung-Hsin University)

Tsay, P-K (1997) Comparisons of loglinear model and sample coverage methods in capture-recapture experiments. (Chang-Kang University)

Lin, S-P (2001) Comparison of population size estimation between continuous and discrete capture-recapture experiments. (Chung-Hua University)

Yang, H-C (2002) The applications of Markov chain models and kernel smoothing in capture-recapture experiments. (Institute of Statistical Science, Academia Sinica)

Shen, T.- J. (2003) Prediction of Biodiversity. (National Chung-Hsin University)

Li, P.-C. (2005) Species estimation and similarity indices in quadrat sampling. (Wistron NeWeb Co. Industrial Park, Hsin-Chu)

(Co-advisee) Lee, P.-L. (2006) Clustering for longitudinal data. (Department of Statistics, Tamkang University)

Chiang, S.-C. (2006) Similarity indices for multiple communities. (Biostatistics Task Force, Taipei Veterans General Hospital)

Pan, H. Y. (2007) Estimation of shared species richess in multiple communities. (National Chia-Yi University)

Han, R.-P. (2008) Statistical estimation of beta diversity. (Central Taiwan University of Science and Technology)

Jiang, Y.-H. (2008) Multiple-community similarity indices under both discrete and continuous diversity data.

Lin, C.-W. (2009) Estimation of biodiversity in sampling without replacement. (Chaoyang University of Technology)

Lin, S.-Y. (2012) Hierarchical and space-time decomposition of biodiversity indices.

Wang, Y.-T. (2013) Statistical estimation of Hill numbers and similarity indices.

Hsu, F.-J. (2013) Statistical estimation of rarefaction and extrapolation curve for beta diversity.

Hsieh, T.-C. (2014) Rarefaction and extrapolation with biodiversity.

Ma, K.-H. (2016) Rarefaction and extrapolation of similarity/differentiation measures and species diversity in sampling without replacement.

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