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www.ncbi.nlm.nih.gov - We describe a new algorithm, meraculous, for whole genome assembly of deep paired-end short reads, and apply it to the assembly of a dataset of paired 75-bp Illumina reads derived from the 15.4 megabase genome of the haploid yeast Pichia...

github.com - This software is provided ``as is” without warranty of any kind. In no event shall the author be held responsible for any damage resulting from the use of this software. The program package, including source codes, executables, and this...

academic.oup.com - GMcloser uses likelihood-based classifiers calculated from the alignment statistics between scaffolds, contigs and paired-end reads to correctly assign contigs or long reads to gap regions of scaffolds, thereby achieving accurate and efficient gap...

ufmg-simba.sourceforge.net - SIMBA, SImple Manager for Bacterial Assemblies, is a Web interface for managing assembly projects of bacterial genomes. SIMBA was created to assist bioinformaticians to assemble bacterial genomes sequenced with NextGeneration Sequencing (NGS)...

www.phrap.org - Supports Illumina, 454, other Next-Gen and Sanger Reads and allows mixtures of these read types Consed includes BamScape which can view bam files with unlimited numbers of reads. BamScape can bring up consed to edit reads and the reference sequence...

In this protocol, we address and describe the de novo assembly method for small to medium-sized genomes.

Assembly and Genome record pages now redirect to new NCBI Datasets pages.

Genome assembly is a powerful process that transforms raw sequencing data into a coherent representation of an organism’s genome. By following this step-by-step guide, you can successfully assemble genomes and uncover valuable biological insights....

mummer4.github.io - MUMmer4, a substantially improved version of MUMmer that addresses genome size constraints by changing the 32-bit suffix tree data structure at the core of MUMmer to a 48-bit suffix array, and that offers improved speed through parallel processing...

github.com - chromeister: An ultra fast, heuristic approach to detect conserved signals in extremely large pairwise genome comparisons. USAGE: -query: sequence A in fasta format -db: sequence B in fasta format -out: output matrix -kmer Integer: k>1...