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Friday, February 25, 2011

Web Publishing of Scientific Data and Services Training Courses

This series of training courses is mandated to train service providers in the use of modern semantic approaches to publishing informatics resources on the Web using the semantic web services paradigm. The first Web Publishing of Scientific Data and Services Training Course will be held in Fredericton, NB, CANADA on May 19-20th, 2011.

Semantic Web Services have rich descriptions of functional requirements that facilitate service interoperability and make it easier for users to discover and access relevant services in real time. The course provides both theory and practical training in the semantic technologies that underpin the development of semantic web services.The training course is divided into the following modules:

* Semantic Web
* Knowledge Representation and Reasoning
* Web Services
* SADI Semantic Web Services

At the end of the training, attendees will know how to:

* publish their data and algorithms on the Web in a manner that is easy for others to find and access using state of the art toolkits.

* ensure their data and tools integrate well with other resources on the Web.

* enhance query access and service discoverability for target end-user communities.

Target Audience

This training course is primarily of interest to providers of bioinformatic resources seeking to extend the utility and usability of thier data and services. Researchers interested in learning state of the art semantic technologies and their deployment to facilitate web scale interoperability are strongly encouraged to attend. Priority will be given to students and professionals with working knowledge of Perl and/or Java.

Profile of Target Audience:

* Grid Computing Architects and Developers interested in building globally interoperable systems;

* Web Developers and Bioinformatics researchers seeking to ensure the adoption of their technologies in the knowledge discovery;

* Workflow system developers coordinating computational and data resources across the web using semantics;

* Industry pioneers in Workflow, Grid and Semantic technologies;

* Researchers involved in Web-based Knowledge Discovery in Bioinformatics.

URL: http://sadiframework.org/training/

Contact Person: Silvane Paixao (silvane.cbrass@gmail.com)

Thursday, February 17, 2011

12th MRC SGDP Centre Summer School: Bioinformatics for Geneticists

Bioinformatics for Geneticists: This course will teach how to handle data and conduct basic analysis, QC and annotation. It will cover the most common analysis packages and methods and how to do systems biology with each of these datasets singly or in combination. It will teach the essentials of GWAS and web data resources, pathway and network analysis, but a primary focus this year will be on next generation sequencing analysis. It will consider methods for analysis of transcriptome sequencing and exome/whole genome sequencing.

Scientific Directors: Gerome Breen & Richard Dobson
URL: http://www.kcl.ac.uk/schools/summerschool/si/sgdp/index.html

Contact Person: Gerome Breen, Richard Dobson (gerome.breen@kcl.ac.uk)

Thursday, February 3, 2011

Announcing New Master of Biostatistics at Duke

The Duke University Department of Biostatistics and Bioinformatics is excited to launch the new Master of Biostatistics Program in Fall 2011. This two-year degree program seeks to provide students with the analytical, biological, and communication skills that will ensure successful contribution to the rapidly-expanding field of biomedical research.

The program offers both degree and non-degree options. The two-year master degree option leads to a Master of Biostatistics, a professional degree awarded by the School of Medicine at Duke University.

Fall 2011 applications now available.

Application review begins January 31, 2011. Priority is given to Applications received by March 1, 2011. After March 1, 2011, Applications are considered on a space-available basis.

For more details about the Master of Biostatistics Program, please visit the program website: http://biostat.duke.edu/master-biostatistics-program/program-overview

URL: http://biostat.duke.edu/master-biostatistics-program/program-overview

Contact Person: Jonathan Hecht (jonathan.hecht@duke.edu)


edited by Laura Elnitski (National Human Genome Research Institute, USA), Helen Piontkivska (Kent State University, USA), & Lonnie R Welch (Ohio University, USA)

Mapping the genomic landscapes is one of the most exciting frontiers of science. We have the opportunity to reverse engineer the blueprints and the control systems of living organisms. Computational tools are key enablers in the deciphering process. This book provides an in-depth presentation of some of the important computational biology approaches to genomic sequence analysis. The first section of the book discusses methods for discovering patterns in DNA and RNA. This is followed by the second section that reflects on methods in various ways, including performance, usage and paradigms.


1 Pattern Discovery Methods:
1.1 Large-Scale Gene Regulatory Motif Discovery with NestedMICA (M Piipari et al.)
1.2 R'MES: A Tool to Find Motifs with a Significantly Unexpected Frequency in Biological Sequences (S Schbath & M Hoebeke)
1.3 An Intricate Mosaic of Genomic Patterns at Mid-range Scale (A Fedorov & L Fedorova)
1.4 Motif Finding from Chips to ChIPs (G Pavesi)
1.5 A New Approach to the Discovery of RNA Structural Elements in the Human Genome (L Hua et al.)

2 Performance and Paradigms:
2.1 Benchmarking of Methods for Motif Discovery in DNA (K Klepper et al.)
2.2 Encyclopedias of DNA Elements for Plant Genomes (J Lichtenberg et al.)
2.3 Manycore High-Performance Computing in Bioinformatics (J-S Varré et al.)
2.4 Natural Selection and the Genome (A L Hughes)

Readership: Those who perform biological, medical and bioinformatics research.

236pp Pub. date: Jan 2011
ISBN: 978-981-4327-72-5
981-4327-72-7 US$90 / £56
URL: http://www.worldscibooks.com/lifesci/7972.html

Contact Person: Lonnie Welch (welch@ohio.edu)