PerM: efficient mapping of short sequencing reads with periodic full sensitive spaced seeds

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PerM: efficient mapping of short sequencing reads with periodic full sensitive spaced seeds

MOTIVATION The explosion of next-generation sequencing data has spawned the design of new algorithms and software tools to provide efficient mapping for different read lengths and sequencing technologies. In particular, ABI's sequencer (SOLiD system) poses a big computational challenge with its capacity to produce very large amounts of data, and its unique strategy of encoding sequence data int...

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Metagenomic reads binning with spaced seeds

Article history: Received 23 February 2017 Received in revised form 16 May 2017 Accepted 21 May 2017 Available online xxxx

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Fast and sensitive mapping of nanopore sequencing reads with GraphMap.

Realizing the democratic promise of nanopore sequencing requires the development of new bioinformatics approaches to deal with its specific error characteristics. Here we present GraphMap, a mapping algorithm designed to analyse nanopore sequencing reads, which progressively refines candidate alignments to robustly handle potentially high-error rates and a fast graph traversal to align long rea...

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Designing Efficient Spaced Seeds for SOLiD Read Mapping

The advent of high-throughput sequencing technologies constituted a major advance in genomic studies, offering new prospects in a wide range of applications.We propose a rigorous and flexible algorithmic solution to mapping SOLiD color-space reads to a reference genome. The solution relies on an advanced method of seed design that uses a faithful probabilistic model of read matches and, on the ...

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SpEED: fast computation of sensitive spaced seeds

SUMMARY Multiple spaced seeds represent the current state-of-the-art for similarity search in bioinformatics, with applications in various areas such as sequence alignment, read mapping, oligonucleotide design, etc. We present SpEED, a software program that computes highly sensitive multiple spaced seeds. SpEED can be several orders of magnitude faster and computes better seeds than the existin...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2009

ISSN: 1460-2059,1367-4803

DOI: 10.1093/bioinformatics/btp486