clc_unmapped_reads

clc_unmapped_reads extracts unmapped reads from assembly outputs to enable discovery of novel transcripts and assessment of assembly completeness in high-throughput sequencing datasets such as Roche 454 pyrosequencing (250-450 base pairs).


Key Features:

  • Handling Unmapped Reads: Identifies and outputs reads that remain unmapped after an initial assembly attempt.
  • Integration with Assembler Tools: Accepts and processes outputs from CAP3, MIRA, Newbler, SeqMan, and CLC assemblers.
  • Comprehensive Analysis: Merges datasets from multiple assemblers to improve alignment accuracy and consistency in contig number and size.
  • Variable Read Coverage Handling: Addresses challenges posed by variable read coverage across individual contigs.
  • High-Throughput Sequencing Support: Applicable to large volumes of short reads from technologies such as Roche 454 pyrosequencing (250-450 bp).

Scientific Applications:

  • Novel Sequence Discovery: Enables identification of sequences, genes, or variants not represented in reference assemblies.
  • Transcript Diversity Analysis: Facilitates exploration of transcriptome diversity in non-model organisms, including Litomosoides sigmodontis.
  • Assembly Evaluation and Improvement: Supports assessment of assembly completeness and improvement of contig metrics through merged assembler outputs.

Methodology:

Identifies reads that remain unmapped following initial assembly attempts and integrates/merges outputs from multiple assemblers (CAP3, MIRA, Newbler, SeqMan, CLC) to enhance alignment accuracy and contig consistency.

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

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.

Links