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Call for Papers and Posters
Personal Genomics
January 4-8, 2010
Fairmont Orchid Resort
The Big Island of Hawaii, U.S.A.
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Motivation
Recent improvements
in sequencing methods and other genotyping assays introduced high-throughput, low-cost and
more automated technologies. The revolution
in DNA sequencing opened many possibilities for researchers working in
the fields of genetic variation, diseases of genomic origin, and even
personalized medicine. The new technologies can also be
employed to discover functional landscape of the human genome as part
of the ENCODE Project; such as epigenetic variation (methylation
patterns and histone modification) and protein-DNA interaction. Further
uses of the high-throughput sequencing technologies include
transcriptome analysis, non-coding RNA discovery, gene expression
profiling, rapid testing of genotype-phenotype associations, and
identification of pathogens.
Our genetic identity not only determines our physical differences, but
it also defines our susceptibility against diseases. Several groups are
now working on various methods to exploit the power of cost efficient
technologies to better perform genotype-phenotype
associations, in particular to identify susceptibility to disease, and
eventually diagnose disease at its early stages. The ultimate goal is
to vastly improve the field of pharmacogenomics, which can broadly be
defined as the study of the relationship between genotype and drug
response and how the drugs affect our metabolism. The wealth of new
data gives many opportunities to advance our understanding
of how to optimize drug combinations for each individual’s genetic
makeup. The underlying computational tools for such studies analyze
available data to identify differences between a reference
genome and sequenced genomes, and perform clustering
and classification to obtain both normal and disease-related phenotype
associations.
This session focuses on the development of novel computational
methods in all aspects of Personal Genomics including genetic and
epigenetic
variation discovery, genotype-phenotype associations, indexing and
cataloguing both normal and disease-related variation, exome capture
and resequencing, and personalized medicine. This session has a broad
target audience that includes algorithm developers working on sequence
analysis, genomics researchers, pharmacogeneticists, and medical
geneticists.
Session Topics
We would like to invite
contributions presenting new methods in algorithm development,
genomics, pharmacogenomics, chemoinformatics, and medical genetics
aimed to advance the newly emerging field of Personal Genomics. In
particular, we encourage submission of papers on high-throughput
sequencing, analysis of whole genome genotyping assays, variation discovery, and genome-wide association studies.
Papers presenting new methods should provide experimental or empirical
evidence of the
performance and
practicality of the new methods.
Problems of specific interest may include, but are not limited to:
- Algorithm development for read mapping, sequence
assembly, SNP calling, small and large INDEL discovery, inversion and
translocation polymorphism detection, duplication and copy number
analysis.
- Computational analysis of epigenetic variation such as methylation patterns and histone modifications.
- Data mining applications to discover associations between
genomic variants and phenotype (both local and genome-wide association
studies).
- Population genetics: classification of variants specific to certain populations, and relationship between different populations.
- Molecular analysis of functional effects of mutations.
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Database design issues to index variation within and between species.
Other
topics within the subject area are welcome. Note
that all submitted papers should make clear their relevance for the study
of Personal Genomics. If unsure whether your paper fits the session theme, please
contact Can Alkan, or one of the co-chairs.
Special Interest Group Discussion Session
We also invite abstracts of unpublished or recently published results
for short presentations in the discussion session. Accepted abstracts
will not be published in the proceedings, and will be presented only in
this special session. Please submit your one-page abstracts to
Can
Alkan before noon PST on November 9, 2009.
Session Co-Chairs
Submission Information
Please note that the submitted papers are reviewed and
accepted on a competitive basis. At least three reviewers will be assigned to
each submitted manuscript.
Important Dates
- Paper submissions due: July 13, 2009
- Notification of paper acceptance: September 10, 2009
- Camera-ready final paper deadline: September 21, 2009 at 11:59pm PT
- Abstract deadline for non-reviewed posters: November 9, 2009 at noon PT
- Abstract deadline for presentations in the discussion session: November 9, 2009 at noon PST
Paper Format
Please see the PSB paper format template and instructions at http://psb.stanford.edu/psb-online/psb-submit.
The file formats we accept are: postscript (*.ps) and Adobe
Acrobat (*.pdf)). Attached files should be
named with the last name of the first author (e.g. altman.ps or altman.pdf). Hardcopy submissions or unprocessed
TEX or LATEX files will be rejected without
review.
Each paper must be accompanied by a cover letter. The cover letter must state
the following:
- The email address of the corresponding author.
- The specific PSB session that should review the
paper or abstract.
- The submitted paper contains original,
unpublished results, and is not currently under consideration elsewhere.
- All co-authors concur with the contents of the
paper.
Submitted papers are limited to twelve (12) pages
in our publication format. Please format your paper according to instructions
found at
http://psb.stanford.edu/psb-online/psb-submit/.
If figures cannot be easily resized and placed precisely in the text, then it
should be clear that with appropriate modifications, the total manuscript
length would be within the page limit.
Contact Russ Altman (psb.hawaii @ gmail.com) for additional information about paper submission requirements.