This website uses cookies in order to improve our services. If you proceed visiting this website you accept the usage of cookies. For more info please read our Data Privacy statement.


Bioinformatics for NGS - Meetings, Congresses, and Conferences

This website presents a list of meetings, conferences, symposia, and congresses for bioinformatics related to next generation sequencing. 

NGS General  Bioinformatics  Diagnostics & Microbiology  Human & Cancer Genetics  | Plant & Fungi  Single Cell


The 13th IASTED International Conference on Biomedical Engineering February 2017

February 20 – 21, 2017, Innsbruck, Austria


8th International Conference on Bioinformatics Models, Methods and Algorithms February 2017

21-23. February 2017, Porto, Portugal
The purpose of the International Conference on Bioinformatics Models, Methods and Algorithms is to bring together researchers and practitioners interested in the application of computational systems, algorithmic concepts and information technologies to address challenging problems in Biomedical research with a particular focus on the emerging problems in Bioinformatics and computational biology. There is a tremendous need to explore how mathematical, statistical and computational models can be used to better understand biological processes and systems, while developing new methodologies and tools to analysis the massive currently-available biological data. Areas of interest to this community include systems biology, sequence analysis, biostatistics, image analysis, network and graph models, scientific data management and data mining, machine learning, pattern recognition, computational evolutionary biology, computational genomics and proteomics, and related areas.


9th International Conference on Bioinformatics and Computational Biology March 2017

March 20 - 22, 2017,Honolulu, HI, USA
Most research areas of bioinformatics, computational biology and medical informatics have experienced significant advances in recent years driven by computational techniques in bioinformatics. The 9th International Conference on Bioinformatics and Computational Biology (BICOB) will provide an utmost venue for researchers and practitioners in bioinformatics to present and publish their research results and techniques. Bioinformatics and computational biology continue to be a vibrant research area with broadening applications and new emerging challenges. BICOB-2017 seeks original and high quality papers in the fields of bioinformatics, computational biology, systems biology, medical informatics and the related areas. The conference includes a Best Paper Award to be given during the conference banquet. We also encourage work in progress and research results in the emerging and evolutionary computational areas. Work in the computational methods related to, or with application in, bioinformatics is also encouraged including: computational intelligence and its application in bioinformatics, bio-data mining and text mining, evolutionary algorithms, nature-inspired computation, machine learning and bio-NLP, biomedical ontology, biomathematics, modeling and simulation, pattern recognition, data visualization, biostatistics. The topics of interest include (and are not limited to):
Genome analysis: Genome assembly, Next-Gen genomics and metagenomics, genome and chromosome annotation, gene finding, alternative splicing, EST analysis and comparative genomics.
Sequence analysis: Multiple sequence alignment, sequence search and clustering, next generation sequencing NGS, function prediction, motif discovery, functional site recognition in protein, RNA and DNA sequences.
Phylogenetics: Phylogeny estimation, models of evolution, comparative biological methods, population genetics.
Structural Bioinformatics: Structure matching, prediction, analysis and comparison; methods and tools for docking; protein design.
Analysis of high-throughput biological data: Microarrays (nucleic acid, protein, array CGH, genome tiling, and other arrays), EST, SAGE, MPSS, proteomics, mass spectrometry. Also, query languages, interoperability, bio-ontology and bio-data mining.
Genetics and population analysis: Linkage analysis, association analysis, population simulation, haplotyping, marker discovery, genotype calling.
Systems biology: Systems approaches to molecular biology, multiscale modeling, pathways, gene networks, transcriptomics - microarray data analysis, proteomics, epigenomics.
Healthcare Informatics: healthcare data acquisition, analysis and mining. Clinical decision support systems, and healthcare information systems.
Computational Proteomics: Filtering and indexing sequence databases, Peptide quantification and identification, Genome annotations via mass spectrometry, Identification of post-translational modifications, Structural genomics via mass spectrometry, Protein-protein interactions, Computational approaches to analysis of large scale Mass spectrometry data, Exploration and visualization of proteomic data, Data models and integration for proteomics and genomics, Querying and retrieval of proteomics and genomics data etc.


32nd International Conference on Computers and Their Applications CATA March 2017

March 20–22, 2017, Waikiki Beach Marriott Resort and Spa, Honolulu, Hawaii, USA
Sponsored by the International Society for Computers and Their Applications (ISCA)
The 32nd International Conference on Computers and Their Applications (CATA) provides an international forum for presentation and discussion of research on computers and their applications. CATA 2017 will feature contributed, as well as invited papers concerned with theory, practice and applications.

The conference also includes a best paper award, given for a paper presented at the conference. The topics will include, but are not limited to, the following areas:

Artificial Intelligence
Biomedical Engineering
Bioinformatics and Geoinformatics
Computer-Aided Design/Manufacturing
Computer and Network Security
Computer Architecture and VLSI
Computer Graphics
Computer Modeling
Computer Networks
Computer Simulation
Computer Vision
Computers and Education
Computing Practice & Applications
Control Systems
Data Communications
Data Mining and Knowledge Discovery
Digital Signal Processing
Expert Systems
Human-Computer Interface & Visualization
Image Processing
Information Systems
Multimedia Applications
Neural Networks
Operating and Distributed Systems
Parallel Processing
Pattern Recognition
Programming Languages
Real-Time Computing
Software Engineering and CASE
Text Processing


Big Data for Clinical Trials April 2017

The vast volumes of data collected across the clinical trials process offers pharma and biotech the opportunity to harness the information in these big data sets for improved clinical trial design, patient recruitment, site selection, monitoring insights and overall decision making. Harnessing and unlocking the potential in existing data sources, including biomarker, genomic, EHRs, claims data, real world data and clinical trial data, can ultimately lead to improved drug development. Cambridge Healthtech Institute’s Big Data for Clinical Trials conference gathers leaders across pharma, biotech and academia for discussions and case studies on harnessing existing clinical data to advance the clinical trials process.
April 24-25, 2017, Westin Copley Place, Boston, MA


14th Graybill Conference on Statistical Genetics and Genomics June 2017

Colorado State University – Fort Collins, Colorado
June 5-7, 2017
The 14th Graybill Conference will be held June 5 – 7, 2017 on the campus of Colorado State University, Fort Collins, Colorado. The focus of the 14th Graybill Conference will be on Statistical Genomics and Genetics. The program consists of invited talks, a contributed poster session and student poster competition. It is the aim of the conference to bring together a wide range of researchers, practitioners, and graduate students whose work is related to statistical genomics and genetics in a wide sense. Topics of interest include:
Big Data in Genomics and Genetics
Copy Number Variation
Disease Gene Mapping
Genetic Networks
Integrative Genomics and Genetics
Longitudinal Genomic Studies
Microbiome Analysis
mRNA/miRNA Interactions
Pathway-Based Genomics Single Cell RNA Sequencing
Statistical Genomics


MCCMB 2017 — Moscow Conference on Computational Molecular Biology July 2017

July 27-30, 2017, Moscow, Russia
Moscow Conference on Computational Molecular Biology (MCCMB) is a biennial forum in various up-to-date areas of computational biology. It traditionally takes place in Lomonosov Moscow State University, but despite its "local" title both Russian and international scientists participate the conference. The working language of the conference is English.

Selected papers of MCCMB'17 participants will be published in the special issue of Journal of Bioinformatics and Computational Biology subject to the standard reviewing procedure. All accepted abstracts will be indexed in the Russion Index of Scientific Citations (РИНЦ).


CIBCB — 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology August 2017

23 - 25 Aug 2017, Manchester, UK

IEEE CIBCB 2017 will bring together top researchers, practitioners, and students from around the world to discuss the latest advances in the field of Computational Intelligence and its application to real world problems in biology, bioinformatics, computational biology, chemical and healthcare informatics, bioengineering, biomedical engineering, and related fields. Computational Intelligence approaches include artificial neural networks, fuzzy logic, evolutionary algorithms, hybrid algorithms, and other emerging techniques.


15th Annual Pharma IT Congress September 2017

Over 200 attendees representing global pharmaceutical organisations, leading biotech companies and internationally renowned academic institutions

Over 40 presentations and case studies focusing on the key developments in Big Data and analytics, lab informatics, collaboration, digital health, wearable technologies, blockchain technology, lab automation and challenges in data privacy.

Including 4 interactive streams:

Getting The Most Out Of Big Data In R&D IT
Translational Science and Medicine
Data Management, Real-World Evidence & Real-World Data
IT Solutions


From Single- to Multiomics: Applications and Challenges in Data Integration Nov. 2017

EMBL Heidelberg, Germany
Sunday 12 November - Tuesday 14 November 2017

This conference aims to bring together experts from various ‘omics fields and computational biology to discuss applications and inspire new ideas for integrating and interpreting data across the different omics technologies. We believe it will provide a interdisciplinary platform for discussing future collaborations between the different omics fields.


Recent advances in genomics, proteomics, and metabolomics
Integrating different ‘omics data
Post-translational modification: expanding proteome diversity
Novel ‘omics technologies - including ‘omics and structural biology
Clinical applications of multi-omics


BIBM — 2017 IEEE International Conference on Bioinformatics and Biomedicine Nov. 2017

13-16. Nov 2017, Kansas City, MO, USA
We solicit high-quality original research papers (including significant work-in-progress) in any aspect of bioinformatics and biomedicine. New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; knowledge representation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint satisfaction; data visualization; parallel computation; data integration; modeling and simulation and their application in life science domain are especially encouraged Relevant topics include but are not limited to:
1. Genomics and Molecular Structure, Function and Evolution

a. Next-Gen Sequencing and Metagenomics
b. Evolution, Phylogeny, Comparative Genomics
c. SNPs and haplotype analysis, GWAS
d. Protein/RNA Structure, Function and Interactions

2. Computational Systems Biology

a. Transcriptomics - Microarray Data Analysis
b. Gene Regulation, Alternative Splicing, Network/Pathway Analysis
c. Proteomics, PTMs, Metabolomics
d. Epigenomics, non-coding RNA analysis, DNA methylation analysis

3. Medical Informatics and Translational Bioinformatics

a. Biomedical Intelligence, Clinical Data Analysis, and Electronic Health Record
b. Biomedical Signal/Image Analysis
c. Genome-Phenome Analysis
d. Biomarker Discovery

4. Cross-Cutting Computational Methods and Bioinformatics Infrastructure

a. Biomedical Text Mining and Ontologies
b. Biological Data Mining and Visualization
c. Computational Modeling and Data Integration
d. High Performance Computing

5. Healthcare Informatics

a. Healthcare knowledge representation & reasoning
b. Health data acquisition, analysis and mining
c. Healthcare information systems
d. Clinical Decision Support and Informatics


Pin It