Computer Vision Supported Analysisfor Intravital Microscopy

The LBRN Work-in-progress will be held via Access Grid (please check your local access grid for this event) on Thursday, November 12th, 2009 at 2pm. Attached is a flyer to post on your campus and within your department to invite your students, staff, and faculty to this seminar:

TBD

Sumeet Dua
Louisiana Tech University - Department Engineering and Science

TBD

Hilary Thompson
LSU Health Sciences Center New Orleans - School of public health

note: click on poster image or any title to view poster and and appropriate abstracts.

Our next LBRN Work in progress will be on Thursday, December 3rd, 2009 at 2pm.

Also please check our participating sites; notify the site ahead of time to ensure site will be running via the Access Grid. Sites with * require 3 business day notice.read more below to see which sites.

The LBRN Work-in-progress will be held via Access Grid (please check your local access grid for this event) on Thursday, November 5th, 2009 at 2pm. Attached is a flyer to post on your campus and within your department to invite your students, staff, and faculty to this seminar:

Computer Vision supported analysis for Intravital Microscopy

Marjan Trutschl
Louisiana State University - Department Computer Science

Translation of mRNA Subsets by eIF4E-Family members in Caenorhabditi elegans

Robert Rhoads
LSU Health Sciences Center Shreveport - Department of Biochemistry and Molecular Biology

note: click on poster image or any title to view poster and and appropriate abstracts.

Our next LBRN Work in progress will be on Thursday, November 12th, 2009 at 2pm.

Also please check our participating sites; notify the site ahead of time to ensure site will be running via the Access Grid. Sites with * require 3 business day notice. read more below to see which sites.

Introduction to principles, concepts, methods, techniques, algorithms, tools and strategies to transform and process the masses of information from biological experiments, focusing particularly on biological sequence data. Covers topics such as pairwise sequence alignment, gene detection, protein structure prediction, analysis of microarray gene expression data, gene mapping, comparative genomics, genome evolution, data mining, visualization and Perl programming (from the basics to BioPerl). We will also discuss the use of high performance computing in processing large amounts of data. This course consists of lectures and in-class, hands-on real life exercises.

Course Numbers
LSUS: CSC 466/666; BIOS 490/690
LSUHSC: BIOCH 290
Other campuses: Please, e-mail us for the info

Course Offered
January 19 - May 11, 2010

Course Texts
Understanding Bioinformatics (0-8153-4024-9)
Perl Programming for the Biologists (0-4714-3059-5)

Planned Guest Lecturers
Dr. Ben Berhane, LSUHSC-S
Dr. Steven Conrad, LSUHSC-S
Dr. Urska Cvek, LSUS
Dr. Nadejda Korneeva, LSUHSC-S
Dr. Mary Lowery-Nordberg, LSUHSC-S
Dr. Rona Scott, LSUHSC-S

Target Audience
Any scientist or science major with desire to learn about this dynamic interdisciplinary field. No previous experience assumed.

Further Information:
Dr. Marjan Trutschl (contact info on pdf)
Dr. Eric First (contact info on pdf)

The IVBI symposium is soliciting original manuscripts in the area of information visualisation applied to all kinds of biomedical data, including genomic and proteomic data. One of the great challenges is the presentation of and interaction with large and complex data sets. The need for integrated methods and creative strategies has provided an opportunity for novel solutions. We encourage submissions of new techniques, old techniques applied in novel ways, new methods, interesting applications and in-depth
surveys. Peer-reviewed publications will be published in official symposium proceedings (with an ISBN number) by the IEEE Computer Society in print and online and will be indexed by major indexing services.

Examples of application topics include (not limited to)
• Microarray data, design and analysis
• Nucleotide and protein sequence alignment
• Sequence analysis, comparison and alignment networks
• Evolution
• Genomics
• Signaling pathways, biochemical networks
• Systems biology
• Mass spectrometry
• Patient records and other medical applications
• Interactions with large data sets
• Annotation and labeling
• Linking literature and semantics in pathway visualizations
• Systems-level analysis of experimental data
• Overview and detail presentation of predictive or uncertain data
• Identification of relationships in disparate data sets
• Comparative methods / user studies / surveys
• etc.

The submission deadline is March 15, 2010.

The conference will be held in London, England July 14, 2010.

More information can be found at www.graphicslink.co.uk/

The LSU Life Sciences Access Grid node has become part of the Global Quality Assurance Program for Access Grid nodes. This program was built by Jason Bell at CQU in Australia to provide and maintain a high standard of communication between Access Grid node sites and presented at previous Access Grid Retreats. An increasing number of nodes are meeting or requiring this level of quality assurance or "QA". Nodes in Australia, Canada, and England, with several others around the world have met this requirement. LSU is the first in the U.S. to do this.

Anyone meeting with a site that has been QA'd will know they are meeting with a site that meets a high level of quality without wasting time troubleshooting networking, audio, and operational issues. In addition, this node is able to begin QA'ing other nodes in the state of Louisiana. A list of available testers are listed here: http://www.accessgrid.org/qatesters

Information about the QA process is available here: http://www.accessgrid.org/qa-program

The list of registered Access Grid nodes on the Access Grid website here: http://www.accessgrid.org/nodes, nodes that are QA'd are checked in red. LSU's Life Sciences node, listed here, was the first in the state to be built in 2002 with the help of funding from then LSU Capital (now CCT), the LSU College of Basic Sciences, and funding from NIH IDeA program is gratefully acknowledged on this website.

The following grant opportunity postings were made on the Grants.gov Find Opportunities service:

HHS
Department of Health and Human Services
National Institutes of Health
Exploratory Collaborations with National Centers for Biomedical Computing (R21)
Modification 1
http://www.grants.gov/search/search.do?&mode=VIEW&flag2006=true&oppId=17962

HHS
Department of Health and Human Services
National Institutes of Health
Collaborations with National Centers for Biomedical Computing (R01) Grant
http://www.grants.gov/search/search.do?&mode=VIEW&flag2006=true&oppId=17963