A Genome Scaffold Algorithm for Extending Repetitive and Non-repetitive Contigs
Journal: Journal of Interdisciplinary Sciences (Vol.1, No. 1)Publication Date: 2017-11-02
Authors : Shuaibin Lian Gang Zheng Ke Gong Xiaoli Zhang; Jiantao Guo;
Page : 49-60
Keywords : The Next Gene Sequencing; Gene Assembly; Hash Index; Mapping Conditions; Repetitive and Non-repetitive Contigs;
Abstract
The next generation sequencing platform produces massive short reads data. It is needed to assemble these short reads for further analysis. Unfortunately, gene assembly algorithm is still faced by a variety of complex challenges, especially for repetitive sequences. Based on De Bruijn Graph and SWA, we proposed a new genome scaffold algorithm named HashRepScaffold for extending repetitive contigs and non-repetitive contigs. By aligning original reads back to both ends of repetitive contigs and non-repetitive contigs, HashRepScaffold finds the best repetitive contig to exend the non-repetitive contig. Finally, simulation study was used to evaluate the performances of HashRepScaffold. The results indicated that HashRepScaffold have an excellent performances in extending repetitive and non-repetitive contigs.
Other Latest Articles
- A New AB Initio Repeats Finding Algorithm for Reference Genome
- Gain improvement of the Yagi-Uda Antenna Using Genetic Algorithm for Application in DVB-T2 Television Signal Reception in Tanzania
- Student Representation and Modes of Institutional Stakeholder Interaction Platforms. Reconciling University Councils and their Student Stakeholders
- Performance Characteristics of a Diesel Engine with Mustard-Honge Biodiesel
- Inductances and force computation using Multiple model approach to nonlinear modeling and control of a pm linear synchronous actuator
Last modified: 2018-04-13 00:18:08