Search Results for "forge genome assembler"

MIRA V5 is available only on GitHub! The V4 version released here on SourceForge stay up as some automated release fetching packages rely on V4. MIRA - Sequence assembler and sequence mapping for whole genome shotgun and EST / RNASeq sequencing data. Can use Sanger, 454, Illumina and IonTorrent data. PacBio: CCS and error corrected data usable, uncorrected not yet.

---------------------------------------- IMPORTANT: Meraculous-2D has been superseded by the HipMer assembler, available here: https://sourceforge.net/projects/hipmer/ ----------------------------------------- Meraculous-2D is a whole genome assembler for NGS reads (Illumina) that is capable of assembling large, diploid genomes with modest computational requirements. Features include: - Efficient k-mer counting and deBruijn graph traversal - Two modes of handling of diploid allelic variation - Improved scaffolding that produces more complete assemblies without compromising scaffolding accuracy. ...

Celera Assembler (CA) is a whole-genome shotgun (WGS) assembler for the reconstruction of genomic DNA sequence from WGS sequencing data.

What's next of SOAPdenovo2: MEGAHIT is the formal successor of SOAPdenovo2 MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph http://www.ncbi.nlm.nih.gov/pubmed/25609793 https://github.com/voutcn/megahit Latest Code on GitHub: https://github.com/aquaskyline/SOAPdenovo2 SOAPdenovo is a novel short-read assembly method that can build a de novo draft assembly for human-sized genomes. The program is specially designed...

PASHA is a parallel short read assembler for large genomes using de Bruijn graphs. Taking advantage of both shared-memory multi-core CPUs and distributed-memory compute clusters, PASHA has demonstrated its potential to perform high-quality de-novo assembly of large genomes in reasonable time with modest computing resources. Our evaluation using three small real paired-end datasets shows that PASHA is able to produce better assemblies with comparable genome coverage and mis-assembly rates compared to three leading assemblers: Velvet, ABySS and SOAPdenovo. ...