OBJECTIVES
Mapping algorithms often only report the best match for a read and do not use information about matches with sub-optimal scores. For a read where the match with the highest alignment score lies in a region withlow coverage, but a second-best hit is in a highly covered area, the second hit may be a better candidate for the real position. Also, errors in the reference sequence can result in the top scoring mapped position being incorrect. We will address these problems by developing a new mapper which takes the read data coverage into account during the mapping process. With the increasing role of epigenetics for the understanding of molecular mechanisms, bisulfite sequencing to detect methylation of DNA is becoming increasingly common. However, aligning reads from bisulfite sequencing experiments remains a challenging task. We will develop improved methods which lead to significantly better results in less computation time.
PARTICIPATING PARTNERS
Genomatix (Lead Partner)
IIT
C1omics 2015 Single-cell omics methods and applications, 24-25 November 2015, Manchester....more information
See Software section for software developed by the RADIANT team
See Publications section for latest papers from the RADIANT project
Project type:
Collaborative research project
Funding scheme:
European Commission's Seventh Framework Programme
Start date: December 2012
End date: December 2015
Coordinator: University of Manchester
Grant Agreement no: 305626