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Saturday, February 10, 2018

Call for Special Session Proposals: 15th Computational Intelligence methods for Bioinformatics and Biostatistics

CIBB 2018 : 15th Computational Intelligence methods for Bioinformatics and Biostatistics

Caparica, Portugal, September 6-8, 2018


Call for Papers, Tutorials and Special Sessions

The main goal of the CIBB international conference is to provide a multi-disciplinary forum for researchers interested in the application of computational intelligence, in a broad sense, to open problems in bioinformatics, biostatistics, systems and synthetic biology and medical informatics. Cutting edge methodologies capable of accelerating life science discoveries will be discussed.

Following its tradition and roots, this year's meeting will bring together researchers from the international scientific community interested in advancements and future perspectives in bioinformatics and biostatistics. Also of particular interest are current trends and future opportunities at the edge of computer and life sciences, together with the application of computational intelligence to system and synthetic biology, and the consequent impact on innovative medicine. Theoretical and experimental biologists are invited to participate in order to present novel challenges and foster multidisciplinary collaboration.

The scientific program of CIBB 2018 will include Keynote Speakers, tutorials and special sessions. Contributed papers will be presented in plenary oral sessions, special sessions, or poster sessions.

Topics of interest include, but are not restricted to:

· Next generation sequencing bioalgorithms

· Multi-omics data analysis

· High dimensional statistical analysis of omics data

· Algorithms for alternative splicing analysis

· Algorithms for molecular evolution and phylogenetic analysis

· Methods for the visualization of high dimensional complex omic data

· Software tools for bioinformatics

· Methods for comparative genomics

· Methods for functional classification of genes

· Methods for unsupervised analysis, validation and visualization of structures discovered in bio-molecular data

· Health-Informatics and Medical Informatics

· Methods for the integration of clinical and genetic data

· Heterogeneous data integration and data fusion for diagnostics

· Algorithms for pharmacogenomics

· Biomedical text mining and imaging

· Methods for diagnosis and prognosis within personalized medicine

· Statistical methods for the analysis of clinical data

· Prediction of secondary and tertiary protein structures

· Mass spectrometry data analysis in proteomics

· Algorithms for molecular evolution and phylogenetic analysis

· Bio-molecular databases and data mining

· Mathematical modeling and automated reasoning on biological and synthetic systems

· Computational simulation of biological systems

· Methods and advances in systems biology

· Spatio-temporal analysis of synthetic and biological systems

· Network systems biology

· Models for cell populations and tissues

· Methods for the engineering of synthetic components

· Modelling and engineering of interacting synthetic and biological systems

· Software tools for bioinformatics, biostatistics, systems and synthetic biology


CIBB 2018 will run a number of Tutorials and Special Sessions. Any topic of interest for the conference is eligible for a tutorial. Tutorials typically last from one to three hours. Special sessions focus on a specific, possibly cutting-edge, topic of interest for CIBB 2018. Special session organisers will be responsible for call dissemination, the reviewing process and organizing oral presentations. Typically, a special session will have at least 4 accepted papers and may have an invited speaker (to be negotiated).

Tutorial proposals

⁃ including title, a one page long abstract, and short CV of presenters

⁃ due by 25th March 2018

⁃ send proposals to ⁃ cibb2018@campus.fct.unl.pt

Special Session proposals

⁃ including the session's title and scope, short CV of sessions chairs, preliminary list of at least 4, possibly more, potential authors

⁃ due by 25th March 2018

⁃ a special session is expected to have at least 4 accepted papers

⁃ send proposals to ⁃ cibb2018@campus.fct.unl.pt


Pdf versions of accepted papers will be distributed at the conference. At least one author of an accepted paper is required to register and present their paper at the conference. Authors of accepted papers will be invited to submit an extended version of their work to a post-conference monograph.

We plan to invite all papers for a volume in the Springer series of Lecture Notes in Bioinformatics (LNBI). Continuing the tradition of CIBB, we are also planning to invite the best papers, as an alternative to the publication on LNBI, to a special issue of an international scientific journal (such as BMC Bioinformatics, as in the latest editions).

Antonino Staiano, University of Naples Parthenope
URL: http://eventos.fct.unl.pt/cibb2018/

Contact Person: Antonino Staiano (antonino.staiano@uniparthenope.it)

Saturday, February 3, 2018

Second CfP Special Issue on Statistical and Machine Learning Modeling in Computational Epigenetics

Statistical and Machine Learning Modeling
in Computational Epigenetics@BioMed Research International

Epigenetics has recently emerged as one of the hottest fields in life
sciences for studying heritable change in phenotype, gene function, or gene
expression that are not directly encoded in the DNA itself. Up-to-date
studies have shown that epigenetic modulations are fundamental in many
developmental processes, from tissue and organ formation to allele-specific
gene expression. When these normal epigenetic patterns modify, pattern of
gene expression can be deregulated, and it has been proven that such
mechanisms are central in several disorders and diseases, among which are
psychiatric disorders, obesity, and etiology of a number of diseases such
as cancer, schizophrenia, and Alzheimer, just to name a few. Today, thanks
also to several large human epigenome projects, scientists have a better
understanding of the basic principles of epigenetic mechanisms as well as
their relevance to health disorders and disease. At the heart of this
fascinating research field are computational tools that, by analyzing
complex genomic information, play an essential role in discovering
evidences to define new assessable hypotheses. In particular, the
literature at a glance shows the effectiveness of a combination of
statistical and machine learning techniques in several epigenetic analyses.
This special issue aims to host original papers and reviews on recent
research advances and the state-of-the-art methods in the fields of
statistical and machine learning methodologies and algorithm design for the
study of epigenetic mechanisms. Especially welcome are also software
systems with a special emphasis on tools developed with the help of big
data distributed processing framework like Hadoop and Spark to properly
manage the huge amount of data coming from epigenome-scale experiments.

Potential topics include but are not limited to the following:Machine
Statistical learning theory
Fuzzy logic and systems
Neuro-fuzzy systems
Granular computing
Data mining
Probabilistic and statistical modelling
Algorithms designed for epigenomic big data
High-throughput data in the broad context of epigenomics
Analysis, modeling, and prediction of DNA methylation patterns
Analysis, modeling, and prediction of histone modifications in DNA sequences
Identification of abnormal DNA methylation within CpG islands in different
Analysis of epigenetic marks in stem cells
Analysis of miRNA changes in cancer and other diseases
Simultaneous analysis of methylome and transcriptome
Analysis of reciprocal regulation of noncoding RNA and methylation
Study of the epigenetic role in metabolomics
Analysis of microbiome role in epigenetic regulation of gene expression

Authors can submit their manuscripts through the Manuscript Tracking System
at https://mts.hindawi.com/submit/journals/bmri/computational.biology/acim/

Submission deadline:
Friday, 2 March 2018

Publication date:
July 2018

URL: http://www.hindawi.com/journals/BMRI/si/873738/cfp/

Contact Person: Antonino Staiano (antonino.staiano@uniparthenope.it)

Monday, January 8, 2018

Save the Date: Chicago Genomics and Data Science Hackathon

From 11-13 July 2018, the NCBI will help out with a Data Science hackathon on the Northwestern School of Medicine Campus in Downtown Chicago! The hackathon will focus on genomics as well as general Data Science analyses including text, image and sequence processing. This event is for researchers, including students and postdocs, who have already engaged in the use of large datasets or in the development of pipelines for analyses from high-throughput experiments. Some projects are available to other non-scientific developers, mathematicians, or librarians.
The event is open to anyone selected for the hackathon and willing to travel to Chicago. Please note that this follows directly on the heels of the ISMB 2018 meeting.
Working groups of five to six individuals will be formed into five to eight teams. These teams will build pipelines and tools to analyze large datasets within a cloud infrastructure. Example subjects for such a hackathon include:
A machine learning tool for observing structural changes in time course light microscopy.
Novel virus discovery
Automated systematic review methodology.
Splitting BLAST databases on the cloud
Data mapping tool that assists users with mapping their data to CDEs
Disease clustering from literature based on limited training data (phenotypic information)
Variants from RNAseq (including single cell)
Graphical User Interface for Gene Expression calculated on the fly from raw data
Please go to http://ncbi-hackathons.github.io to propose projects, and to access the sign-up form when available (likely in mid-March)
URL: https://ncbi-hackathons.github.io

Contact Person: Ben Busby (ben.busby@nih.gov)