SMIS: Single Molecular Integrative Scaffolding. A pipeline for scaffolding genome assemblies using long reads (PacBio, ONT)
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Updated
Feb 19, 2018 - C
SMIS: Single Molecular Integrative Scaffolding. A pipeline for scaffolding genome assemblies using long reads (PacBio, ONT)
Long Reads Mapping Algorithms
Genome assembly scaffolding using information from paired-end/mate-pair libraries, long reads, and synteny to closely related species.
Predict plasmids from uncorrected long read data
A flexible complex genome rearrangement simulator for short and long reads
A fast tool for hybrid genome assembly of long and short reads
Lightweight single-html-file-based Genome Segments playground for Visualize genome features cluster(gene arrow map or other features), add synteny among genome fragments or add crosslink among features, add short(PE/MP)/long reads(pacbio or nanopore) mapping or snpindel in vcf(not support complex sv yet), support all CIGAR of sam alignment, dire…
Scripts for the Nature Biotechnology paper, 2020: Automated assembly of centromeres from ultra-long error-prone reads
Improved Phased Assembler: structured documentation and results of testing for Australian compute infrastructures
TideHunter: efficient and sensitive tandem repeat detection from noisy long reads using seed-and-chain
KNOT: Knowledge Network Overlap exTraction is a tool for the investigation of fragmented long read assemblies.
Hybrid method based on a variable-order de bruijn Graph for the error Correction of Long Reads
Canu: structured documentation and results of testing / optimisation for Australian compute infrastructures
Benchmarking for long-reads assembler
Method to optimally select samples for validation and resequencing
An algorithm for centromere assembly using long error-prone reads
Derives consensus sequences from a set of long noisy reads by clustering and error correction.
Fake genomes, fake sequencing, real insights.
Coronavirus (SARS-Cov-2) sequencing analysis
Pipeline for calling structural variations in whole genomes sequencing Oxford Nanopore data
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