Leading Professional Society for Computational Biology and Bioinformatics
Connecting, Training, Empowering, Worldwide

HOME - ISMB/ECCB 2017

Photos

ISMBECCB 2017 Photos available here.


Talks Available

ISMB/ECCB 2017 talks are now available* at: https://www.youtube.com/iscbtv
(*not all presenters provide permission to make talks available)


Special Issue of Bioinformatics

Bioinformatics


Award Winners

View the 2017 ISMB/ECCB Award Winners


ISCB Summer newsletter & Conference Program


ISCB Conference App Now Available

Online at http://app.core-apps.com/ismb_eccb2017


Location

The ISMB/ECCB 2017 conference will be held at the Prague Congress Centre (PCC) located at:

5. kvetna 1640/65, Nusle
140 00 Prague 4, Czech Republic
Phone: +420 261 171 111

The Prague Congress Centre is adjacent to the Vyšehrad station on Line C of the Prague underground railway network, providing convenient access by public transport from the city’s airport and all major rail and bus stations. A map of the network is available here.

Maps, timetables, fares and route planning are available in English on the Prague Public Transport website www.dpp.cz/en/

If you are travelling by car to the PCC you can find parking details here.


Distinguished Keynote Presentations


Communities of Special Interest (COSI) Tracks

3DSIG - Structural Bioinformatics and Computational Biophysics
BioOntologies – ontologies for medicine and life sciences
BioVis – visualization of biological data
BOSC - Bioinformatics Open Source Conference
COBE – Bioinformatics Education
CAMDA – analysis of heterogenous datasets
Function – methods for protein function annotation
HitSeq - high throughput sequencing algorithms and applications
RNA – computational and experimental aspects of research in RNA biology
NetBio – methods and tools for network biology
RegSys – computational methods for studying the regulation of genes and systems
SysMod – computational modelling of biological systems
TransMed – computational approaches in clinical and translational medicine
VariSIG – methods for understanding the impacts of genetic variation