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Short description:
Please summarise the application in a few sentences. Avoid links here. Sequence assembly software using traditional and next-gen techonologies. Subsequent analysis of the assembly, including variant discovery, coverage evaluation and consensus annotation is provided through full integration with Lasergene.
Software version:
Biological application domain(s) (Phylogenetics, Genomics, ...):
Genomics, Sequence assembly (de novo assembly), Sequence assembly (de-novo assembly), Transcriptome assembly, Whole genome resequencing, SNP detection, Indel detection, ChIP-seq, RNA-Seq alignment
Principal bioinformatics method(s) (Assembly, Mapping, ...):
Read mapping, Sequence assembly, Sequence alignment,
Technology (Sanger, Illumina, 454, SOLiD, Ion Torrent, ...):
Ion Torrent, Roche 454, Pacific Biosciences, Illumina, Sanger
Interface (Command line, Web UI, Desktop GUI, SOAP WS, HTTP WS, API, QL):
Resource type (Command-line tool, Web application, Desktop application, Script, Suite, Workbench, Database portal, Workflow, Plug-in, Library, Web API, Web service, SPARQL endpoint):
http://www.DNASTAR.com
<strong>SeqMan NGen®</strong> is next-gen sequence assembly software that uses a patented algorithm to provide fast and accurate sequence assembly of data from all major next-gen platforms, including Illumina, Pacific Biosciences, Roche 454, and Ion Torrent. SeqMan NGen represents a breakthrough in sequence assembly software as it has the ability to assemble any size genome quickly and easily on a desktop computer. Optimized assembly parameter settings are automatically determined for you, based on your read technology and your specific project objective, such as genome assembly, targeted resequencing, and <em>de novo</em> transcriptome workflows. <br><br>SeqMan NGen is fully integrated with [[Lasergene]]'s SeqMan Pro, so that once your assembly is complete, numerous tools are available for analyzing your project, including variant and genotype calling using Bayesian statistical models, direct comparison to dbNSFP, dbSNP, COSMIC, and GERP databases during assembly, coverage evaluation, and consensus annotation.<br><br>
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