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Not in Greece? Choose your country's store to see books available for purchase. Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next-generation sequencing technologies, together with novel and constantly evolving, distinct types of omics data technologies, have created an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology.

The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information and requires tools from the computational sciences.

In the last few years, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance in boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. Further, the conference promoted the interaction of scientists from diverse research groups and with a distinct background computer scientists, mathematicians, biologists.

Exploratory Social Network Analysis with Pajek. Wouter de Nooy. Machine Learning. Information Resources Management Association. Algorithms in Computational Molecular Biology. Mourad Elloumi. Siddhivinayak Kulkarni. Genetic and Evolutionary Computation. Stefano Cagnoni. Formulation tools for Pharmaceutical Development.

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6th International Conference on Practical Applications of Computational Biology & Bioinformatics

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Conference Highlights

Arnaud Gohier. Biomedical Informatics. Andreas Holzinger. Basics of Bioinformatics. Rui Jiang. Applied Statistics for Network Biology. Armin Graber. Chemoinformatics for Drug Discovery. Scalable Pattern Recognition Algorithms. Sushmita Paul. Shafiq Alam. Knowledge-Based Bioinformatics. Gil Alterovitz. An Introduction to Silent Speech Interfaces. Ujjwal Maulik. Bioinformatics and Biomedical Engineering. Ignacio Rojas. Software Tools and Algorithms for Biological Systems.

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Quoc-Nam Tran. Quoc Nam Tran. Advances in Computational Biology. Hamid R. Sujata Dash. Computational Intelligence Methods for Bioinformatics and Biostatistics. Claudia Angelini. Bioinformatics Research and Applications. Zhipeng Cai. Systems Biology.


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Enrico Formenti. Big Data Analytics in Genomics. Ka-Chun Wong. Pattern Recognition in Computational Molecular Biology. Hybrid Artificial Intelligent Systems. Emilio Corchado. Biomedical Engineering Systems and Technologies. Guy Plantier. Extended Abstracts Fall Elizabeth A. Diana Francisca Adamatti. What a Fish Knows. Jonathan Balcombe. Intelligent Computing Theories and Methodologies. De-Shuang Huang. Machine Learning, Optimization, and Big Data.

Piero Conca. Wide Awake. Patricia Morrisroe. Every Living Thing. We welcome contributions exploiting quantitative approaches both in experiment and modelling, from biology and medicine to chemistry, computer science, engineering, mathematics and physics. It is expected to stimulate young scientists to establish collaboration networks and to conduct interdisciplinary studies at the junction of mathematics and biology.

Essentially practical in nature, it aims at the learning of current genomics and proteomics techniques, as well as the acquisition of skills in laboratory experimentation required for scientific research in Biomedicine. An exciting way to learn the essential genomics and proteomics techniques used in experimental research in biomedicine: hands-on, practical, intensive. Abstract deadline: 2 December Travel Grants available. Participants will gain hands-on experience in the detection of cell free tumor DNA cfDNA using a next generation sequencing NGS approach that covers all four mutation classes in a single assay.

Critical aspects on recent developments to increase analytical sensitivity and mitigate sequencing errors computational error correction will be discussed as well as annotation, interpretation, and clinical reporting of liquid biopsy tests. Lectures will cover the evaluation of ctDNA as biomarkers, clinical applications, emerging analytes for liquid biopsy and important challenges. The aim for researchers, engineers, academicians as well as industrial professionals from all over the world to present their latest research results and advanced research methods.

During the course, participants will receive an overview of state-of-the-art genomic technologies and bioinformatic tools. A balanced approach of lectures and practical sessions will provide a general background and the latest advancements in the field as well as its relationship with other disciplines. The course will start with training the participants about experimental design and the preparation of their own metagenomic libraries with soil or their environmental samples.

The metagenomic DNA will be sequenced onsite using third generation sequencing technologies and subsequent data analysis. Thus, the students have a unique opportunity to work on the complete workflow from sample preparation to data analysis. This updated course version will also address cutting-edge single-cell microbial genomics during practical.

Bioinformatics analysis is a key part of the course, where students will learn how to process data from raw sequences to the application of algorithms for analysing metagenomic datasets. Trainers will provide short lectures with follow-up hands-on exercises in order to have the participants learning and assessing their knowledge.

Recently, the static structure of the folded genome inside the cell nucleus has been determined with increasingly high resolution. Studies of the roles of these features in gene regulation and other biological processes are currently ongoing. In addition, research on chromatin dynamics has shown that the genome moves in space and time, thus these structural features might be dynamic, too. Currently, it is not clear how to reconcile the static picture with the dynamic nature of the genome.

Following the recent surge in activity on both the biology and physics fronts, this conference aims to provide a platform that would facilitate an interdisciplinary exchange, cultivate new ideas and identify new frontiers. Almost a century of research has generated a powerful genetic toolbox that provides a unique arsenal of methods that can tackle almost any biological question. This, combined with exciting new technologies developed in recent years have changed the way Drosophila research is conducted, enabling biologists to address questions that were impossible to study before.

Our knowledge on DNA nanotechnology and biomolecular computing increases exponentially with every passing year. The annual international meeting in the field began in right after the landmark work by L. Adleman, who solved an instance of the Hamiltonian path problem by DNA molecules and opened the door to this new field.

Since then, the meeting has been a forum where scientists with different backgrounds, yet sharing a common interest in biomolecular computing meet, and present their latest results.

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The meeting is therefore purposely broad to cover all aspects of genomics to systems biology, a unique combination that is highly appreciated by the participants. Over the past decade, this EMBL conference has therefore served as an important venue in helping to shape the field, or to be more precise to help generate a community of scientists that come from very diverse disciplines, each with the common goal to understand the systems level properties of their system of interest. To properly deal with such minute amounts of sample, each step of the workflow is critical, from sampling to data analysis.

Additionally, the integration of data from different approaches is becoming increasingly important to capture the whole picture. This course will cover established techniques from sampling through sequencing, protein analysis and data analysis. Samples will be collected via flow cytometry, gene expression will be analysed by qRTPCR and next generation sequencing, and protein analysis will be performed by proximity extension assays. Data collected by the different methods will be analysed during in-depth sessions, which are a strong component of the course.

The goal is to foster new research in biomolecular topology and promote transformative topological techniques by bringing together experts from geometric topology, algebraic topology, combinatorial topology, computational topology, and topological data analysis to tackle fundamental biological challenges.

The expectation is that the program will harness existing connections between mathematics and biology and create new ones. The calendar is published for the convenience of conference participants and we strive to support conference organisers who need to publish their upcoming events. Although great care is being taken to ensure the correctness of all entries, we cannot accept any liability that may arise from the presence, absence or incorrectness of any particular information on this website.

Always check with the meeting organiser before making arrangements to participate in an event! Search the calendar. Closely related topics. Browse by subject. Conferences and Meetings on Genomics and Bioinformatics Select a location. Related subject s :. Event website:. Equip yourself with the skills to analyze genome data using bioinformatic tools. Genomics bioinformatics genomics microbiome metagenomics metatranscriptomics biotechnology genetic research.

Systems Biology and Computational Biology. Molecular Biology.


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Over attendees representing global pharmaceutical companies, leading biotech companies and internationally renowned academic institutions. Recent advances in technology now allow us to explore multiple aspects of heterogeneity at the single cell level. Single cell sequencing, cell diversity, Spatial transcriptomics, New developments in technology, bioinformatics, CNS sequencing, disease research. Event listing ID:. IGC — Immunogenomics Join more than immunogenomics leaders and researchers to explore the application of genomic technologies to better understand the immune system and the development of disease at the Immunogenomics conference.

A fundamental property of genomes is their topological organisation in the 3D space of the cell nucleus. Digital PCR. NGS, DNA, bioinformatics, biology, genetics, genomics, diagnostics, proteomics, biomarkers, computational biology, data analysis, data interpretation, DNA sequencing, disease, genetic disease, informatics, molecular biology, cell biology, molecular diagnostics, event, conference, speakers, education, lecture, science, genes, medicine, technology.