density

density generates nucleic acid density plots within the European Molecular Biology Open Software Suite (EMBOSS) to visualize and analyze nucleotide distribution across DNA and RNA sequences.


Key Features:

  • Integration with EMBOSS: Implemented as part of the European Molecular Biology Open Software Suite (EMBOSS), enabling use alongside other EMBOSS programs.
  • Density plot generation: Produces nucleic acid density plots that quantify and visualize nucleotide distribution across sequences.
  • EMBOSS C libraries: Implements functionality using the EMBOSS C programming libraries for sequence processing and plotting routines.
  • ACD-based customization: Supports customization and extension via Application Control Descriptor (ACD) files.
  • Interoperability: Integrates with third-party bioinformatics packages and other EMBOSS components for workflow compatibility.

Scientific Applications:

  • Nucleic acid analysis: Facilitates examination of nucleotide composition and distribution in DNA and RNA to aid identification of motifs, regulatory elements, and structural features.
  • Genomics, transcriptomics, and epigenetics: Provides nucleotide distribution profiles useful in analyses across genomics, transcriptomics, and epigenetics studies.

Methodology:

Generates density plots of nucleotide distributions using EMBOSS C libraries and allows configuration via Application Control Descriptor (ACD) files.

Topics

Collections

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C
Added:
11/8/2015
Last Updated:
12/10/2018

Operations

Publications

Rice P, Longden I, Bleasby A. EMBOSS: The European Molecular Biology Open Software Suite. Trends in Genetics. 2000;16(6):276-277. doi:10.1016/s0168-9525(00)02024-2.

Bleasby AJ, Ison JC, Rice PM. EMBOSS Administrator's Guide. Unknown Journal. 2011. doi:10.1017/cbo9781139151399.

Ison JC, Rice PM, Bleasby AJ. EMBOSS Developer's Guide. Unknown Journal. 2011. doi:10.1017/cbo9781139151405.

Documentation

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