RNAcode_Web – Convenient identification of evolutionary conserved protein coding regions

The differentiation of regions with coding potential from non-coding regions remains a key task in computational biology. Methods such as RNAcode that exploit patterns of sequence conservation for this task have a substantial advantage in classification accuracy in particular for short coding sequen...

Full description

Bibliographic Details
Main Authors: Anders John, Stadler Peter F.
Format: Article
Language:English
Published: De Gruyter 2023-08-01
Series:Journal of Integrative Bioinformatics
Subjects:
Online Access:https://doi.org/10.1515/jib-2022-0046
_version_ 1797362069992898560
author Anders John
Stadler Peter F.
author_facet Anders John
Stadler Peter F.
author_sort Anders John
collection DOAJ
description The differentiation of regions with coding potential from non-coding regions remains a key task in computational biology. Methods such as RNAcode that exploit patterns of sequence conservation for this task have a substantial advantage in classification accuracy in particular for short coding sequences, compared to methods that rely on a single input sequence. However, they require sequence alignments as input. Frequently, suitable multiple sequence alignments are not readily available and are tedious, and sometimes difficult to construct. We therefore introduce here a new web service that provides access to the well-known coding sequence detector RNAcode with minimal user overhead. It requires as input only a single target nucleotide sequence. The service automates the collection, selection, and preparation of homologous sequences from the NCBI database, as well as the construction of the multiple sequence alignment that are needed as input for RNAcode. The service automatizes the entire pre- and postprocessing and thus makes the investigation of specific genomic regions for previously unannotated coding regions, such as small peptides or additional introns, a simple task that is easily accessible to non-expert users. RNAcode_Web is accessible online at rnacode.bioinf.uni-leipzig.de.
first_indexed 2024-03-08T16:03:16Z
format Article
id doaj.art-279f4419a2d54803950d3bdd13de88a7
institution Directory Open Access Journal
issn 1613-4516
language English
last_indexed 2024-03-08T16:03:16Z
publishDate 2023-08-01
publisher De Gruyter
record_format Article
series Journal of Integrative Bioinformatics
spelling doaj.art-279f4419a2d54803950d3bdd13de88a72024-01-08T09:53:35ZengDe GruyterJournal of Integrative Bioinformatics1613-45162023-08-012032819210.1515/jib-2022-0046RNAcode_Web – Convenient identification of evolutionary conserved protein coding regionsAnders John0Stadler Peter F.1Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, Universität Leipzig, Härtelstraße 16–18, D-04107Leipzig, GermanyBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, Universität Leipzig, Härtelstraße 16–18, D-04107Leipzig, GermanyThe differentiation of regions with coding potential from non-coding regions remains a key task in computational biology. Methods such as RNAcode that exploit patterns of sequence conservation for this task have a substantial advantage in classification accuracy in particular for short coding sequences, compared to methods that rely on a single input sequence. However, they require sequence alignments as input. Frequently, suitable multiple sequence alignments are not readily available and are tedious, and sometimes difficult to construct. We therefore introduce here a new web service that provides access to the well-known coding sequence detector RNAcode with minimal user overhead. It requires as input only a single target nucleotide sequence. The service automates the collection, selection, and preparation of homologous sequences from the NCBI database, as well as the construction of the multiple sequence alignment that are needed as input for RNAcode. The service automatizes the entire pre- and postprocessing and thus makes the investigation of specific genomic regions for previously unannotated coding regions, such as small peptides or additional introns, a simple task that is easily accessible to non-expert users. RNAcode_Web is accessible online at rnacode.bioinf.uni-leipzig.de.https://doi.org/10.1515/jib-2022-0046coding sequence detectioncomparative genomicssmall peptides
spellingShingle Anders John
Stadler Peter F.
RNAcode_Web – Convenient identification of evolutionary conserved protein coding regions
Journal of Integrative Bioinformatics
coding sequence detection
comparative genomics
small peptides
title RNAcode_Web – Convenient identification of evolutionary conserved protein coding regions
title_full RNAcode_Web – Convenient identification of evolutionary conserved protein coding regions
title_fullStr RNAcode_Web – Convenient identification of evolutionary conserved protein coding regions
title_full_unstemmed RNAcode_Web – Convenient identification of evolutionary conserved protein coding regions
title_short RNAcode_Web – Convenient identification of evolutionary conserved protein coding regions
title_sort rnacode web convenient identification of evolutionary conserved protein coding regions
topic coding sequence detection
comparative genomics
small peptides
url https://doi.org/10.1515/jib-2022-0046
work_keys_str_mv AT andersjohn rnacodewebconvenientidentificationofevolutionaryconservedproteincodingregions
AT stadlerpeterf rnacodewebconvenientidentificationofevolutionaryconservedproteincodingregions