The scientific program includes keynotes by leading researchers in the field (Lodewyk Wessels and Cesare Furlanello) and selected presentations of contest dataset analyses. The two-day meeting will also feature a social dinner with and opportunities for informal discussions.

Program (tentative)

Saturday, 22 July 2017

08:15	ISMB Welcome
08:30	ISMB keynote	James Sharpe, Centre for Genomic Regulation (CRG), Spain
09:30	Coffee break
10:00	CAMDA Welcome	Joaquin Dopazo, Ministry of Health, Seville, Spain
10:05	CAMDA Keynote Molecular networks as determinants of response and outcome	Lodewyk Wessels, Netherlands Cancer Institute, Netherlands
11:00	The CAMDA Challenges	David Kreil, Boku University Vienna, Austria
11:10	Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach	Léon-Charles Tranchevent, Luxembourg Institute of Health, Luxembourg
11:30	Predicting clinical outcomes in neuroblastoma with genomic data integration	Hilal Kazan, Antalya International University, Turkey
11:50	Accumulation of Potential Driver Genes with Genomic Alterations Predicts Survival in High-Risk Neuroblastoma	Chen Suo, Fudan University, Shanghai, China
12:20	Lunch break
14:00	Multi-omics integration for neuroblastoma clinical endpoint prediction	Margherita Francescatto, FBK, Trento, Italy
14:30	Integration of Molecular Features with Clinical Information for Predicting Outcome for Neuroblastoma Patients	Yatong Han, Harbin Engineering University, China
14:50	Integration analysis based on survial associated co-expression gene modules for predicing neuroblastoma patients survival times	Kun Huang, The Ohio State University, U.S.A.
15:10	A multi-layer network approach to data integration for patient stratification	Maciej Kańduła, Boku University Vienna, Austria
15:30	Models of cell signalling uncover molecular mechanisms of high-risk neuroblastoma and predict outcome	Marta Hidalgo, FPS, Sevilla, Spain
16:00	Coffee break
16:30	Predicting survival times for neuroblastoma patients using RNA-Seq expression profiles	Tyler Grime, University of Florida, U.S.A.
16:50	Integration of CNV and RNA-seq data can increase the predictive power of Neuroblastoma endpoint	Tieliu Shi, East China Normal University, Shanghai, China
16:59	Computational Approaches to Assessing Clinical Relevance of Pre-clinical Cancer Models	Vladimir Uzun, University of Sheffield, U.K.
17:08	Analysis of CAMDA RNA-seq data with the knowledge of protein domains in genes	Michał Okoniewski, ETH, Zurich, Switzerland
17:17	Microbiome Diversity on Materials	Chandrima Bhattacharya, Indian Institute of Engineering Science and Technology, Shibpur, India
17:26	Codon usage diversity in city microbiomes	Haruo Suzuki, Keio University, Japan
17:35	Unraveling bacterial fingerprints of city subways from microbiome 16S gene profiles	Susmita Datta, University of Florida, U.S.A.
17:44	Assessing reproducibility of metagenomics studies and diversity of public transport systems microbiome profiles of New York, Boston and Sacramento cities	Alina Frolova, The Institute of Molecular Biology and Genetics of NASU, Ukraine
17:53	Identification of mobile elements in metagenomic data	Josef Moser, ACIB, Vienna, Austria
18:02	CAMDA/ISMB poster session
19:30	CAMDA Dinner

Sunday, 23 July 2017

08:15	ISMB Welcome
08:30	ISCB 2017 Overton Prize Award Keynote	Christoph Bock, CeMM, Vienna, Austria
09:30	Coffee break
10:00	CAMDA Welcome	Paweł Łabaj, Boku University; Austrian Academy of Sciences, Vienna, Austria
10:10	Strain-level bacterial and viral diversity in the MetaSUB dataset	Moreno Zolfo, CIBIO, University of Trento, Italy
10:40	Viral and eukaryotic communities of urban ecosystems across US metropolitan areas	Serghei Mangul, UCLA, U.S.A.
11:10	Assessment of urban microbiome assemblies with the help of targeted mock communities	Samuel Gerner, FH Campus Wien, Vienna, Austria
11:30	MetaBinG2: a fast and accurate metagenomics sequence classification method for samples with many unknown organisms	Yuyang Qiao, Shanghai Jiao Tong University, China
12:00	LAST + MEGAN-LR Approach to the Oxford Nanopore Wiggle Space Challenge	Caner Bagci, University of Tübingen, Germany
12:30	Lunch break
14:00	CAMDA Keynote Towards a scientific blockchain framework for reproducible data analysis	Cesare Furlanello, FBK, Trento, Italy
14:55	ISMB Proceeding talk: Rectified Factor Networks for Biclustering of Omics Data	Djork-Arné Clevert, Bayer AG, Berlin, Germany
15:25	ISMB Proceeding talk: Applying meta-analysis to Genotype-Tissue Expression data from multiple tissues to identify eQTLs and increase the number of eGenes	Dat Duong, UCLA, U.S.A.
15:55	Voting for the Best Presentation Award
16:00	Coffee break
16:30	Future challenges in Big Data: Precision Medicine, Human Exposome, …	Wenzhong Xiao, Harvard Medical School & Stanford Genome Center, U.S.A.
17:00	Panel discussion: key insights & future challenges
17:40	Award of the Camda Trophy
17:50	Closing remarks, invitation to contribute to special proceedings issue
18:00	ISMB poster session

Keynotes

Lodewyk Wessels, PhD

Professor in Molecular Carcinogenesis Division, Netherlands Cancer Institute
Presentation Title: Molecular networks as determinants of response and outcome

Abstract: Precision medicine requires the mapping of clinical and molecular variables to response to (combination) treatment. The exact mechanisms involved in tumor development and therapy response, however, are still largely unclear. Here we report on two computational approaches we developed to systematically unravel these mechanisms based on high throughput datasets, and show these can be employed to predict response to anti-cancer agents. Our results obtained on the TCGA pan-cancer data and the GDSC1000 cell line drug screen bring precision medicine a step closer.

Short Bio: Prof. Lodewyk Wessels is the head of the Computational Cancer Biology group at the Netherlands Cancer Institute in Amsterdam, The Netherlands. His group focuses on developing novel computational approaches to exploit a wide variety of data sources to map out the cancer landscape, unravel its regulation and employ this knowledge the develop strategies for personalized treatment. Dr Wessels received his M.Sc. and Ph.D. both from the Department of Electronic and Computer Engineering, University of Pretoria, South Africa. From 1993 to 1997 he was a member of the Center for Spoken Language Understanding at the Oregon Graduate School of Science and Technology. In 1997 he joined the Faculty of Electrical Engineering, Mathematics and Computer Science at the Delft University of Technology and was appointed assistant professor in 2002. In 2006 he became a faculty member at the Netherlands Cancer Institute in Amsterdam, The Netherlands. He was appointed chair of Computational Cancer Biology at the Delft University of Technoilogy in 2012 and in 2016 as Deputy Director Research of the Netherlands Cancer Institute

Cesare Furlanello, PhD

Head of Predictive Models for Biomedicine & Environment, Fondazione Bruno Kessler, Italy
Presentation Title: Towards a scientific blockchain framework for reproducible data analysis

Short Bio: Cesare Furlanello is senior researcher at the Kessler Foundation (Trento, Italy), head of Complex Data Analytics and of the Predictive Models for Biomedicine and Environment research unit. He is a data scientist, active in the field of bioinformatics, combining machine learning methods with new data analytics infrastructures. He is a PI collaborator of international consortia such as the SEQC/MAQC FDA initiative and the RIKEN FANTOM5 project and President-Elect of the newly founded Massive Data Analysis and Quality Control (MAQC) society. His most recent research is directed to deep learning applied on integrative omics, imaging and phenotypic data, with a focus on scientific reproducibility.