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E-Science meetings & conferences

4 meetings & conferences listed in E-Science 

11th Annual Biotechnology and Bioinformatics Symposium (BIOT 2014)
United States

11th Annual Biotechnology and Bioinformatics Symposium (BIOT 2014)

The 11th Annual Biotechnology and Bioinformatics Symposium (BIOT 2014) will be held at University of Arkansas-Fort Smith on November 13-15, 2014.

The objective of the Symposium is to bring together leading researchers in all disciplines that apply computational methodologies to problems in biology, biotechnology, and bioinformatics. The Symposium seeks to showcase state-of-the-art research and development activities in areas such as genome sequencing and annotation, functional and computational genomics, transcript comics, and the analysis of high throughput data, among many others. The Symposium brings together scientists in multiple disciplines such as computer scientists, engineers, and researchers from biotechnology, bioinformatics, and the medical research community. The Symposium ultimately seeks to promote future interdisciplinary activity and research in these areas.

Bioinformatician, Biologist, Cell Biologist, Informatician, Molecular Biologist
4th Next Generation Sequencing Conference
United States

4th Next Generation Sequencing Conference

June 19-20, 2014 San Diego, California

GTC is proud to present the 4th Next Generation Sequencing Conference to be held on June 19-20 in San Diego, CA. With the rapid evolution of sequencing technology and its implementation into multiple applications, there is a continued need for discussion: How do we apply the technology to our own research? What do we do with all of this sequencing data? What are the best ways to run a sequencing lab?

The 4th Next Generation Sequencing Conference will provide a forum for industry, academic and government leaders in the field to present on the current and future applications of the technology as well as share strategies, best practices and protocols on the usage of the tool. Hot topics that will be covered include clinical diagnostics development, the microbiome and infectious disease applications, bioinformatics and methods of data analysis, nanopore sequencing and other future sequencing technologies on the horizon. Attend this conference to network with fellow scientists and researchers and learn about sequencing technologies that are available, how they are being applied and what are the strategies for handling the data.

Sessions for 2014’s agenda are:

I. Applications of NGS Platforms

II. Current & Emerging Sequencing Technologies

III. Single Cell Sequencing

IV. RNA Sequencing

V. Human Metagenomics & the Microbiome

VI. Biomarker Discovery & Clinical Applications

Biologist, Cell Biologist, Computer Scientist, Molecular Biologist, Physician Researcher
Workshop on Genome Privacy Held in Conjunction with the 14th Privacy Enhancing Technologies Symposium (PETS 2014)

Workshop on Genome Privacy Held in Conjunction with the 14th Privacy Enhancing Technologies Symposium (PETS 2014)

July 15, 2014 Amsterdam, Netherlands


As a result of the rapid evolution in genomic research, substantial progress is expected in terms of improved diagnoses and better preventive medicine. The low cost of DNA sequencing will break the physician/patient connection, because private citizens (from anywhere in the world) can have their genome sequenced without involving their family doctor. An undesirable consequence of this technical progress is that genomics is becoming the next major challenge for privacy, because (i) genetic diseases can be unveiled, (ii) the propensity to develop specific diseases (such as Alzheimer’s) can be revealed, (iii) a volunteer, accepting to have his genomic code made public (as has already happened), can leak substantial information about his ethnic heritage and the genomic data of his relatives, and (iv) complex privacy issues can arise if DNA analysis is used for criminal investigations and medical purposes. Such issues could lead to genetic discrimination.


The workshop will explore the privacy issues raised by genomics and the main envisioned solutions. It will include a tutorial and a survey of the field.

Topics to be addressed include, but are not limited to:

Large-scale privacy-preserving analysis of genomic data

Information theoretical security and privacy for genomic data

Security and privacy metrics for the leakage of genomic data

Cross-layer attacks to genome privacy (e.g., attacks induced by combining genomic data and other data sources such as online social networks)

Access control to genomic data

Differentiated access rights for medical professionals

Quantification of genome privacy

De-anonymization attacks against genomic databases

Cryptographic techniques suited to cope with the constraints of genome privacy

Genome privacy within family members

Privacy enhancing technologies for genomic data

Implications of synthetic DNA for privacy

Applications of differential privacy to the protection of genomic data

Storage and protection of genomic data

Secure sharing of genomic data between different entities

Security and privacy of the raw genomic data (BAM/SAM files)

Social and economic issues for genome privacy

Ethical and legal issues as well as policies regarding genome privacy

User studies and perceptions

Researchers unfamiliar with the topic may want to check:

GenoPri Co-Chairs:

Jean-Pierre Hubaux (EPFL - Lausanne, CH)

XiaoFeng Wang (Indiana Univ. - Bloomington, USA)

Computer Scientist, Ethicist, Geneticist , Informatician, Information Scientist, Molecular Biologist, Physician Researcher
CCGrid-Health 2014 – Workshop on Clusters, Clouds and Grids for Health
United States

CCGrid-Health 2014 – Workshop on Clusters, Clouds and Grids for Health

In conjunction with CCGrid 2014 - 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 26-29, 2014, Chicago, IL, USA

Medical research is currently facing the Big Data wave. High resolution digital images, genomics data, and the vast amount of medical data resources on-line (medical reports, clinical tests, biology samples, large amounts of structured and unstructured text data...) lead to an unprecedented demand for large-scale data management and analysis. This new situation demands appropriate IT-infrastructures, where medical data can be processed within an acceptable timespan – reaching from minutes in health-care applications to days in large-scale research projects. Large-scale distributed IT-systems such as Grids, Clouds and Big-Data-Environments are promising to address clinical and medical research community requirements. They allow for significant reduction of computational time for running large experiments, for speeding-up the development time for new algorithms, for increasing the availability of new methods for the research community, and for supporting large-scale multi-centric collaborations.

However, specific challenges in the employment of such systems for medical applications such as security, reliability and user-friendliness, often impede straightforward adoption of existing solutions from other application domains.

This workshop aims at bringing together developers of medical applications and researchers in the field of distributed IT systems. On the one hand, it addresses researchers who are already employing distributed infrastructure techniques in medical applications, in particular scientists developing data- and compute-intensive medical applications that include multi-data studies, large-scale parameter scans or complex analysis pipelines. On the other hand, it addresses computer scientists working in the field of distributed systems interested in bringing new developments into medical applications.

The goals are to exchange and discuss existing solutions and latest developments in both fields, and to gather an overview of challenges (technologies, achievements, gaps, roadblocks). The workshop further intends to identify common requirements to lead future developments in collaboration between Health and Computing Sciences, and to collaboratively explore new ideas and approaches to successfully apply distributed IT-systems in translational research, clinical intervention, and decision-making.

Bioinformatician, Computer Scientist, Physician Researcher, Technologist