[CPM-SPIRE-L] call for abstracts: "Algorithmic and statistical analysis of high throughput sequencing data"
Matteo Comin
comin at dei.unipd.it
Mon Mar 18 01:00:24 PDT 2013
Please distribute this call for paper.
In particular the following Special Session might be of interest for the SPIRE-CPM community:
"Algorithmic and statistical analysis of high throughput sequencing data"
Regards.
-----Messaggio originale-----
Da: BITS INFO [mailto:bits_info at bioinformatics.it]
Inviato: venerdì 15 febbraio 2013 15:59
A: BITS INFO
Oggetto: BITS 2013 call for abstracts
BITS 2013 Call for Abstracts
Submissions are invited for poster and oral contributions to the annual
meeting of the Bioinformatics Italian Society (BITS), which will be held
in Udine on May 21-23, 2013.
Topics covered during the conference include (but are not limited to):
• Genomics
• Transcriptomics
• Next Generation Sequencing
• Metagenomics
• Molecular Evolution
• Comparative Genomics
• Pharmacogenomics
• Protein structure and function
• Proteomics
• Systems Biology
• Biological Databases
• Biobanks
• Algorithms for Bioinformatics
• Genomics of Disease
In addition to the traditional panels, this year the Call includes the
following Special Sessions proposed by members of the Society:
• Algorithmic and statistical analysis of high throughput sequencing data
• Bioinformatics of protein-protein interactions
• Multicellular and Multi-scale Models of Biological Systems
A detailed description of the Special Sessions is available at the end
of this Call.
Contributions will be accepted for both traditional and special sessions
and should address novel bioinformatics methods, algorithms, databases,
tools and applications for research and development.
Abstracts will be reviewed by the Scientific Committee and accepted for
oral communication and poster presentation or rejected in case they do
not match the scientific standards of the conference. Two or three
anonymous referees will evaluate each abstract. We encourage the authors
to use the maximum space available in the submission form in order to
describe at the best their work and results.
Accepted abstracts will be collected in the conference proceedings.
Negotiations are ongoing for the publication of a Supplement of BMC
Bioinformatics (or other international journals) with full articles
dedicated to the subjects presented at the conference as poster or oral
communications.
Abstract submission requires early registration to the conference of the
presenting author after the acceptance notification.
Important dates:
February 15, 2013: Opening of the Call for Abstracts
March 20, 2013: Deadline for Abstract submission for oral communications
and posters
April 20, 2013: Abstract acceptance notification (Oral communications
and posters)
April 24, 2013: Deadline for early registration to the conference
(required for authors of accepted abstracts)
May 21-23, 2013: BITS2013 meeting
June 30, 2013: Deadline for manuscript submission for the BITS
supplement of BMC Bioinformatics (or other international journals).
IMPORTANT NOTE:
Abstract submission form will be available soon. Please visit the BITS
web site (www.bioinformatics.it) for updates and links to meeting web
site and submission form.
Special Session
Algorithmic and statistical analysis of high throughput sequencing data
Biomedical research is facing a real revolution with the advent of the
new sequencing technologies of nucleic acids (High Throughput
Sequencing, HTS), with the possibility of identifying genomic and
transcriptomic variants with a resolution degree that was until very
recently out of reach.
The introduction of these HTS platforms in basic research, in clinic
research, and in diagnostics, has led to new open opportunities and
problems that are mostly bioinformatics challenges.
The huge amount of data produced by HTS platforms needs sophisticated
algorithmic methodologies for its storage, analysis, assembling of newly
sequenced genomes, aligning data to a reference genome when this is
available, as well as all consequent tasks of identification of variants
such as Single Nucleotide Variants (SNV), insertions or deletions
(InDel), Structural Variants (SV), or Copy Number Variations (CNV), that
can all be carried out with or without assembling or alignment.
For algorithms and data structures theory these crucial tasks raise new
specific bioinformatics problems of data indexing and analysis. For post
alignment/assembly there are new challenges in the development of
increasingly accurate and fast computational and statistical methods
that allow the most possible benefit of the potential of HTS
technologies in identifying the whole spectra of genetic variants and
expression profiling of organisms.
We seek original research work, or work in progress on any
bioinformatics issue raised by these challenges, as well as tool
presentations and practical results.
Special Session
Bioinformatics of protein-protein interactions
Recent technical advances in the fields of proteomics and structural
biology have led to a dramatic increase in the amount of available data
on protein-protein interactions (PPIs). This increase brings about many
opportunities, like an unprecedented level of understanding of
PPI-mediated processes or the development of new drugs acting as
inhibitors or mediators of PPIs. However, new challenges have also
arisen, for instance that of correctly identifying biologically relevant
interfaces, i.e. genuine PPIs, in crystal structures.
This session will be open to contributions on all kinds of
bioinformatics studies of PPIs. We invite in particular the submission
of abstracts in the following areas: PPIs in human disease, integrative
structure determination of protein complexes exploiting NMR and
mass-spectrometry, all aspects of docking (methods to predict and
simulate conformational changes, scoring functions, refinement and
benchmarking procedures, use of non-structural information, protein
docking in rational drug design, antibody-protein docking and
DNA/RNA-protein docking, web servers), mapping and analysis of PPI
networks. Abstracts on protein-ligand interaction studies will also be
considered.
Special Session
Multicellular and Multi-scale Models of Biological Systems
Systems Biology relies on computer modeling and simulation of complex
biological systems. Most research in the field focuses on modeling
metabolic and regulatory networks within a single cell using stochastic
and differential equation-based simulation engines. This approach has
been adopted by a large community and has led to a concerted effort to
create effective standards for the specification, validation and sharing
of subcellular models. As Systems Biology matured, many researchers
started building models which operate at larger scales (multi- cell and
organ level) in order to address phenomena such as organ development in
animals and plants, tumor progression and invasion, tissue pathologies
etc. This evolution of model scales requires either an increase in
computational power or the development of efficient algorithms for
simplified models that retain the most important features of the system
but are more computationally tractable, and allow for compositionally
and modularity. As the complexity and scale of models increases - from
subcellular networks to cells to tissue to organ level scales and
beyond, there is an increasing need for methods to describe the
underlying biology, the computational models, and the linkages (and
assumptions) between models at different scales.
The goal of this special session is to bring together researchers who
build multicellular models of biological development, disease and
homeostasis. We will focus on the following two issues that arise most
often in the field: (1) multi-scale interaction with models at finer and
coarser scales and (2) developing standards to share/exchange
multicellular models or their components.
RESEARCH TOPICS:
- Models of multicellular systems
- Biologically validated prediction results
- Models of multi-scale interactions
- Modeling languages and formalisms: geometry and dynamics
- Modularity and compositionality
- Exchange formats and ontologies for multicellular models
- Tools for multicellular systems simulation and analysis (numerical,
qualitative)
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