Results for "Hybrid"
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LoRDEC: a hybrid error correction program for long, PacBio reads
LoRDEC is a program to correct sequencing errors in long reads from 3rd generation sequencing with high error rate, and is especially intended for PacBio reads. It uses a hybrid strategy, meaning that it uses two sets of reads: the reference read set, whose error rate is assumed to be small, and ...Tags: Bioinformatics, LoRDEC, Hybrid, Error, Correction, Program, Long, PacBio, Reads, Illumina
2572 days ago
Unicycler: Hybrid assembly pipeline for bacterial genomes
Unicycler is an assembly pipeline for bacterial genomes. It can assemble Illumina-only read sets where it functions as a SPAdes-optimiser. It can also assembly long-read-only sets (PacBio or Nanopore) where it runs a miniasm+Racon pipeline. For the best possible asse...Tags: Unicycler, Hybrid, assembly, pipeline, bacterial, genomes
2358 days ago
Oxford Nanopore Sequencing, Hybrid Error Correction, and de novo Assembly of a Eukaryotic Genome
Monitoring the progress of DNA molecules through a membrane pore has been postulated as a method for sequencing DNA for several decades. Recently, a nanopore-based sequencing instrument, the Oxford Nanopore MinION, has become available that we used for sequencing the S. cerevisiae genome. To make...Tags: Oxford, Nanopore, Sequencing, Hybrid, Error, Correction, de novo, Assembly, Eukaryotic, Genome
2339 days ago
Jabba: Hybrid Error Correction for Long Sequencing Reads
Jabba is a hybrid error correction tool to correct third generation (PacBio / ONT) sequencing data, using second generation (Illumina) data. Input Jabba takes as input a concatenated de Bruijn graph and a set of sequences: the de Bruijn graph should appear in fasta format with 1 entry per node...Tags: Jabba, Hybrid, Error, Correction, Long, Sequencing, Reads
1971 days ago
HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning
HECIL—Hybrid Error Correction with Iterative Learning—a hybrid error correction framework that determines a correction policy for erroneous long reads, based on optimal combinations of decision weights obtained from short read alignments. HECIL’s core algorithm by introdu...Tags: HECIL, Hybrid, Error, Correction, Algorithm, Long, Reads, Iterative, Learning, longreads
1940 days ago
- When you have both Illumina and Nanopore data, then SPAdes remains a good option for hybrid assembly - SPAdes was used to produce the B fragilis assembly by Mick Watson’s group. Again, running spades.py will show you the options: spades.py This produces: SPAdes genome ...
Tags: SPAdes, hybrid, genome, assembly, ONT, Nanopore
2340 days ago
ALPACA: A hybrid strategy for assembly of genomic DNA shotgun sequencing reads.
ALPACA requires Celera Assembler 8.3 or later. It is recommended to build Celera Assembler from source. (Why? The pre-built binaries CA_8.3rc1 and CA8.3rc2 will work for any large data set. Detail paper at https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-017-3927-8Tags: ALPACA, hybrid, strategy, assembly, genomic, DNA, shotgun, sequencing, reads
2187 days ago
Cerulean: A hybrid assembly using high throughput short and long reads
Cerulean extends contigs assembled using short read datasets like Illumina paired-end reads using long reads like PacBio RS long reads. Cerulean v0.1 has been implemented with bacterial genomes in mind. The method is fully described in Deshpande, V., Fung, E. D., Pham, S., & Bafna, V. (...Tags: Cerulean, hybrid, assembly, short, long, reads, pacbio, nanopore
2150 days ago
Hercules: a profile HMM-based hybrid error correction algorithm for long reads
Choosing whether to use second or third generation sequencing platforms can lead to trade-offs between accuracy and read length. Several studies require long and accurate reads including de novo assembly, fusion and structural variation detection. In such cases researchers often combine both tech...Tags: Hercules, profile, HMM-based, hybrid, error, correction, algorithm, long, reads, PacBio
2074 days ago
