clc_mapper_legacy
clc_mapper_legacy assembles Roche 454 pyrosequencing short reads into contigs to reconstruct transcriptomes for applications such as transcriptome analysis in non-model organisms.
Key Features:
- Transcriptome assembly: Assembles short reads (250-450 base pairs) from Roche 454 pyrosequencing into longer contiguous sequences (contigs) for transcript reconstruction.
- Comparative benchmarking: Has been evaluated alongside CAP3, MIRA, Newbler, SeqMan, and other CLC assemblers, showing competitive contig length and quality though no assembler dominated across all metrics.
- Assembly merging: Supports merging assemblies from different programs to improve alignment accuracy to reference sequences and to increase consistency in contig number and size.
- Workflow integration and reproducibility: Integrates with frameworks that automate and track computational processes to support reproducible and transparent assembly analyses.
Scientific Applications:
- Non-model organism transcriptomics: Reconstruction of transcriptomes when reference genomes are unavailable or incomplete.
- High-throughput sequencing analysis: Processing large datasets typical of next-generation sequencing, specifically Roche 454 pyrosequencing outputs.
- Improved assembly accuracy: Generation of more comprehensive and accurate assemblies via combined outputs from multiple assemblers and merging strategies.
Methodology:
Assembly of 250–450 bp Roche 454 reads into contigs, merging of assemblies from multiple programs, alignment of contigs to reference sequences for accuracy assessment, and comparative evaluation against CAP3, MIRA, Newbler, SeqMan, and CLC assemblers.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 12/19/2016
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Read mapping
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.
Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.
Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.