SeqMan NGen
SeqMan NGen performs sequence assembly and downstream analysis of traditional and next-generation sequencing data for tasks including variant discovery, coverage evaluation, and consensus annotation.
Key Features:
- Versatile assembly algorithms: Supports multiple assembly algorithms for diverse sequencing data, including next-generation platforms such as Roche 454 pyrosequencing.
- Variant discovery and consensus annotation: Provides functionality for identifying genetic variants and generating consensus annotations from assembled sequences.
- Coverage evaluation: Offers tools to assess sequencing coverage across assemblies to evaluate completeness and depth.
- Optimized transcriptome assembly: Capable of assembling transcriptome data from non-model organisms, exemplified by studies on Litomosoides sigmodontis.
- Integration with Lasergene: Integrates with the Lasergene suite to enable downstream analysis within that software environment.
- Multiple-assembler merging: Supports integration and merging of outputs from multiple assemblers to enhance alignment accuracy and consistency in contig size and number.
Scientific Applications:
- Transcriptome analysis: Generation and analysis of transcriptomes from complex or less-studied organisms.
- Variant discovery and annotation: Identification and annotation of genetic variants for studies of genomic diversity and function.
- Coverage assessment: Evaluation of sequencing coverage to inform assembly quality and completeness.
- Assembly consolidation: Combining outputs from different assembly programs to produce a more credible final assembly for downstream analyses.
Methodology:
SeqMan NGen leverages different assembly algorithms and can integrate and merge outputs from multiple assemblers; in comparative studies it has recapitulated known transcripts and generated novel sequences but can produce an excess of small, redundant contigs.
Topics
Details
- Maturity:
- Mature
- Tool Type:
- desktop application
- Operating Systems:
- Windows, Mac
- Added:
- 1/13/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Kumar S, Blaxter ML. Comparing de novo assemblers for 454 transcriptome data. BMC Genomics. 2010;11(1). doi:10.1186/1471-2164-11-571. PMID:20950480. PMCID:PMC3091720.