countreadgcpercent

countreadgcpercent calculates the GC content percentage for each DNA read aligned to a reference genome to quantify per-read guanine (G) and cytosine (C) composition in next-generation sequencing (NGS) datasets.


Key Features:

  • GC Content Calculation: Determines the percentage of guanine (G) and cytosine (C) bases in each DNA read aligned to a reference genome.
  • Reference-aware per-read analysis: Produces per-read GC metrics in the context of reads aligned to a reference genome.
  • Integration with Galaxy Project: Implements execution within the Galaxy platform infrastructure.
  • Scalability: Processes large NGS datasets to compute GC percentages across many reads in batch.

Scientific Applications:

  • Genomic Characterization: Profiles per-read GC content to inform analyses of chromatin structure and gene regulation.
  • Comparative Genomics: Compares GC content distributions across species or strains for evolutionary and diversity studies.
  • Quality Control: Assesses GC content distributions to detect biases introduced during library preparation or sequencing.

Methodology:

Calculates per-read GC percentage by counting guanine (G) and cytosine (C) bases in DNA reads aligned to a reference genome from NGS datasets.

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

Sequence composition calculation

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.

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