iAssembler
iAssembler assembles Expressed Sequence Tags (ESTs) into accurate consensus sequences to improve de novo transcriptome assemblies for organisms lacking reference genomes.
Key Features:
- Integration of established assemblers: Uses MIRA and CAP3 to generate initial contig assemblies from large-scale EST datasets for preliminary sequence alignment and merging.
- Error correction mechanisms: Identifies and corrects two common EST assembly errors: chimeric contigs that merge ESTs from different transcripts (including alternatively spliced variants or paralogs) and fragmented assemblies where ESTs from the same transcript fail to assemble together.
- Sequencing technology compatibility: Processes EST data generated by Sanger sequencing and Roche-454 massive parallel pyrosequencing.
- Benchmarking and performance: Has been compared with other de novo EST assembly programs using Roche-454 and Sanger datasets and demonstrated superior consensus-sequence accuracy.
Scientific Applications:
- Gene discovery: Produces accurate consensus sequences to support discovery of coding transcripts in non-model organisms.
- Functional analysis: Provides higher-quality consensus sequences for downstream functional characterization of genes.
- Gene annotation: Improves reliability of gene annotation by reducing assembly-induced errors in EST-derived consensus sequences.
- Expression profiling: Enables more reliable expression profiling by supplying corrected consensus sequences for transcript quantification.
- Comparative genomics: Facilitates comparative analyses by generating reliable transcript sequences for cross-species comparisons.
Methodology:
The pipeline first uses MIRA and CAP3 to create initial assemblies from EST datasets and then applies an error-correction process to identify and rectify chimeric and fragmented transcriptome assembly errors.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Perl
- Added:
- 12/18/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Zheng Y, Zhao L, Gao J, Fei Z. iAssembler: a package for de novo assembly of Roche-454/Sanger transcriptome sequences. BMC Bioinformatics. 2011;12(1). doi:10.1186/1471-2105-12-453. PMID:22111509. PMCID:PMC3233632.