Context-Aware Seeds for Read Mapping

Motivation: Most modern seed-and-extend NGS read mappers employ a seeding scheme that requires extracting t non-overlapping seeds in each read in order to find all valid mappings under an edit distance threshold of t . As t grows (such as in long reads with high error rate), this seeding scheme forces mappers to use more and shorter seeds, which increases the seed hits (seed frequencies) and therefore reduces the efficiency of mappers. Results: We propose a novel seeding framework, context-aware seeds (CAS). CAS guarantees finding all valid mappings but uses fewer (and longer) seeds, which reduces seed frequencies and increases efficiency of mappers. CAS achieves this improvement by attaching a confidence radius to each seed in the reference. We prove that all valid mappings can be found if the sum of confidence radii of seeds are greater than t . CAS generalizes the existing pigeonhole-principle-based seeding scheme in which this confidence radius is implicitly always 1. Moreover, we design an efficient algorithm that constructs the confidence radius database in linear time. We experiment CAS with E. coli genome and show that CAS reduces seed frequencies by up to 20.3% when compared with the state-of-the-art pigeonhole-principle-based seeding algorithm, the Optimal Seed Solver.

Context-Aware Seeds for Read Mapping

MotivationMost modern seed-and-extend NGS read mappers employ a seeding scheme that requires extracting t non-overlapping seeds in each read in order to find all valid mappings under an edit distance threshold of t. As t grows (such as in long reads with high error rate), this seeding scheme forces mappers to use more and shorter seeds, which increases the seed hits (seed frequencies) and therefore reduces the efficiency of mappers.ResultsWe propose a novel seeding framework, context-aware seeds (CAS). CAS guarantees finding all valid mapping but uses fewer (and longer) seeds, which reduces seed frequencies and increases efficiency of mappers. CAS achieves this improvement by attaching a confidence radius to each seed. We prove that all valid mappings can be found if the sum of confidence radii of seeds are greater than t. CAS generalizes the existing pigeonhole-principle-based seeding scheme in which this confidence radius is implicitly always 1. Moreover, we design an efficient algorithm that constructs the confidence radius database in linear time. We experiment CAS with E. coli genome and show that CAS reduces seed frequencies by up to 25.4% when compared with the state-of-the-art pigeonhole-principle-based seeding algorithm, the Optimal Seed Solver.Availabilityhttps://github.com/Kingsford-Group/CAS_code

TRUST BUILDING PEDAGANG KAIN DAN PAKAIAN DI CIREBON

This writting describes about interaction between one trader to other trader. In the interaction, both of them have unique relation. In the fact, the relation among them is based on personal trust. This study use descriptive methode in qualitative approach. The result of study is the key to the success of a cooperation is strongly influenced by mutual trust that is raised by all parties involved. The sustainability of a cooperation is strongly influenced by the size of the degree of confidence (radius of trust) that is established among the parties involved. Cooperation will be easy to do and can last long if it builds a high value/norm of trust. Conversely cooperation will be easily destroyed even not formed at all if in it has a value/norm of trust is low. Thus the high level of cooperation is very inhern with how much value/norm of trust formed between the parties involved in cooperation