clc_assembler

clc_assembler assembles de novo genomic sequences from short-read and long-read next-generation DNA sequencing data to enable genome reconstruction and downstream genomic analyses.


Key Features:

  • De Novo Assembly Algorithm: Employs a robust algorithm for de novo assembly of DNA sequencing reads.
  • Short- and Long-Read Support: Processes both short-read and long-read sequencing technologies for assembly.
  • Integration with Galaxy Project: Provides integration compatibility with the Galaxy Project framework.
  • Scalability for Large-Scale Analyses: Supports analysis of large sequencing datasets typical in biomedical and genomic research.

Scientific Applications:

  • De Novo Genome Assembly: Reconstruction of genomes from sequencing reads for organisms without reference genomes.
  • Non-Model Organism Genomics: Generation of assemblies for non-model organisms to enable gene discovery and comparative studies.
  • Metagenomics: Assembly of genomes or genomic fragments from mixed microbial community sequencing data.
  • Personalized Medicine: Enabling genome reconstruction to support analyses relevant to personalized medicine.
  • Genetic Variation and Gene Discovery: Facilitating exploration of genetic variation and identification of novel genes and genomic elements.

Methodology:

Uses an assembly algorithm optimized for both short-read and long-read next-generation sequencing data to process and assemble DNA sequences efficiently.

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

De-novo assembly

Publications

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.

Han H, Cantalupo PG, Rotem A, Cockrell SK, Carbonnaux M, Pipas JM, Weitz DA. Whole‐Genome Sequencing of a Single Viral Species from a Highly Heterogeneous Sample. Angewandte Chemie. 2015;127(47):14191-14194. doi:10.1002/ange.201507047.

Funding: - U.S. National Institute of Health: R21-AI101291 - Defense Advanced Research Projects Agency: HR0011-11-C-0093

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.

Documentation

Links