@InProceedings{Mann_ELL_BIRD07,
 author = {Martin Mann and Sebastian Will and Rolf Backofen},
 title = {The Energy Landscape Library - A Platform for Generic Algorithms},
 booktitle = {BIRD'07 - 1st international Conference on Bioinformatics Research and Development},
 year = {2007},
 location = {Berlin, Germany},
 volume = {217},
 publisher = {Oesterreichische Computer Gesellschaft},
 isbn = {978-3-85403-217-5},
 pages = {83-86},
 abstract = {The study of energy landscapes of biopolymers and their
                  models is an important field in bioinformatics. For
                  instance the investigation of kinetics or folding
                  simulations are done using methods that are based on
                  sampling or exhaustive enumeration. Most of such
                  algorithms are independent of the underlying landscape
                  model. Therefore frameworks for generic algorithms to
                  investigate the landscape properties is needed. Here,
                  we present the Energy Landscape Library (ELL) that
                  allows such a model-independent formulation of generic
                  algorithms dealing with discrete states. The ELL  is a
                  completely object-oriented C++ library that is highly
                  modular, easy to extend, and freely available
                  online. It can be used for a fast and easy
                  implementation of new generic algorithms (possibly
                  based on the provided basic method pool) or as a
                  framework to test their properties for different
                  landscape models, which can be formulated
                  straightforward.}, 
 user = {mmann}
}