Genome assembly stats plotting
A de novo genome assembly can be summarised b y a number of metrics, including: Overall assembly length Number of scaffolds/contigs Length of longest scaffol...2319 days ago
Multi-CAR: a tool of contig scaffolding using multiple references
we design a simple heuristic method to further revise our single reference-based scaffolding tool CAR into a new one called Multi-CAR such that it can utilize multiple compl...2312 days ago
SCUBAT: Scaffolding Contigs Using Blat And Transcripts
SCUBAT (Scaffolding Contigs Using BLAT And Transcripts) uses any set of transcripts to identify cases where a transcript is split over multiple genome fragments and attempts to use this information to scaffold the genome.2305 days ago
MMseqs2.0: ultra fast and sensitive protein search and clustering suite
MMseqs2 (Many-against-Many sequence searching) is a software suite to search and cluster huge protein sequence sets. MMseqs2 is open source GPL-licensed software implemented...2296 days ago
Flye: Fast and accurate de novo assembler for single molecule sequencing reads
Flye is a de novo assembler for long and noisy reads, such as those produced by PacBio and Oxford Nanopore Technologies. The algorithm uses an A-Bruijn graph to find the ove...2253 days ago
Metassembler: merging and optimizing de novo genome assemblies
Metassembler combines multiple whole genome de novo assemblies into a combined consensus assembly using the best segments of the individual assemblies. Genome assembly proj...2250 days ago
MIX: Combining multiple assemblies from NGS data
Mix is a tool that combines two or more draft assemblies, without relying on a reference genome and has the goal to reduce contig fragmentation and thus speed-up genome fini...2250 days ago
Porechop: tool for finding and removing adapters from Oxford Nanopore reads
Porechop is a tool for finding and removing adapters from Oxford Nanopore reads. Adapters on the ends of reads are trimmed off, and when a read has an adapter in its middle,...2228 days ago
GLEAN: an unsupervised learning system to integrate disparate sources of gene structure evidence
GLEAN is an unsupervised learning system to integrate disparate sources of gene structure evidence (gene model predictions, EST/protein genomic sequence alignments, SAGE/peptide tags, etc) to produce a consensus gene prediction, without prior training.2224 days ago
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