tcode

tcode identifies protein-coding regions within genomic DNA sequences using the Fickett TESTCODE statistic to assess coding potential.


Key Features:

  • Fickett TESTCODE Statistic: Employs the Fickett TESTCODE statistic to distinguish protein-coding regions from non-coding sequences.
  • Sequence characteristic analysis: Evaluates codon usage patterns and sequence complexity as indicators of coding potential.
  • EMBOSS integration: Distributed as part of the European Molecular Biology Open Software Suite (EMBOSS) and implemented using EMBOSS C programming libraries.

Scientific Applications:

  • Genome annotation: Identification of protein-coding regions to support genome annotation efforts.
  • Gene structure and function studies: Delineation of coding regions to inform analyses of gene structure and inferred protein-coding function.
  • Evolutionary biology: Comparative analyses of coding versus non-coding sequence patterns for evolutionary studies.
  • Disease genetics: Investigation of coding-region locations to support studies of the genetic basis of diseases.

Methodology:

Analyzes nucleotide sequences using the Fickett TESTCODE statistic and evaluates codon usage patterns and sequence complexity to predict protein-coding regions.

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

Data Inputs & Outputs

Publications

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

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.

Documentation

Downloads

Links