2017Unpublished venueOpen access

AnnotationBustR : An R package to extract subsequences from GenBank annotations

Samuel R. Borstein, Brian C. O’Meara

Open full text 3 citations

Abstract

Background. DNA sequences are pivotal for a wide array of research in biology. Large sequence databases, like GenBank, provide an amazing resource to utilize DNA sequences for large scale analyses. However, many sequences on GenBank contain more than one gene or are portions of genomes, and inconsistencies in the way genes are annotated and the numerous synonyms a single gene may be listed under provide major challenges for extracting large numbers of subsequences for comparative analysis across taxa. At present, there is no easy way to extract portions from multiple GenBank accessions based on annotations where gene names may vary extensively. Results. The R package AnnotationBustR allows users to extract sequences based on GenBank annotations through the ACNUC retrieval system given search terms of gene synonyms and accession numbers. AnnotationBustR extracts portions of interest and then writes them to a FASTA file for users to employ in their research endeavors. Conclusion. FASTA files of extracted subsequences and accession tables generated by AnnotationBustR allow users to quickly find and extract subsequences from GenBank accessions. These sequences can then be incorporated in various analyses, like the construction of phylogenies to test a wide range of ecological and evolutionary hypotheses.

About this research paper

What this paper is about

Background. DNA sequences are pivotal for a wide array of research in biology. Large sequence databases, like GenBank, provide an amazing resource to utilize DNA sequences for large scale analyses. However, many sequences on GenBank contain more than one gene or are portions of genomes, and inconsistencies in the way genes are annotated and the numerous synonyms a single gene may be listed under provide major challenges for extracting large numbers of subsequences for comparative analysis across taxa. At present, there is no easy way to extract portions from multiple GenBank accessions based on annotations where gene names may vary extensively. Results. The R package AnnotationBustR allows users to extract sequences based on GenBank annotations through the ACNUC retrieval system given search terms of gene synonyms and accession numbers. AnnotationBustR extracts portions of interest and then writes them to a FASTA file for users to employ in their research endeavors. Conclusion. FASTA files of extracted subsequences and accession tables generated by AnnotationBustR allow users to quickly find and extract subsequences from GenBank accessions. These sequences can then be incorporated in various analyses, like the construction of phylogenies to test a wide range of ecological and evolutionary hypotheses.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Background. DNA sequences are pivotal for a wide array of research in biology. Large sequence databases, like GenBank, provide an amazing resource to utilize DNA sequences for large scale analyses. However, many sequences on GenBank contain more than one gene or are portions of genomes, and inconsistencies in the way genes are annotated and the numerous synonyms a single gene may be listed under provide major challenges for extracting large numbers of subsequences for comparative analysis across taxa. At present, there is no easy way to extract portions from multiple GenBank accessions based on annotations where gene names may vary extensively. Results. The R package AnnotationBustR allows users to extract sequences based on GenBank annotations through the ACNUC retrieval system given search terms of gene synonyms and accession numbers. AnnotationBustR extracts portions of interest and then writes them to a FASTA file for users to employ in their research endeavors. Conclusion. FASTA files of extracted subsequences and accession tables generated by AnnotationBustR allow users to quickly find and extract subsequences from GenBank accessions. These sequences can then be incorporated in various analyses, like the construction of phylogenies to test a wide range of ecological and evolutionary hypotheses.

Key concepts: GenBank, Accession number (library science), Computer science, DNA sequencing, Sequence (biology), Gene, Information retrieval, Biology

Related papers

Back to paper searchBrowse research topicsOriginal source
AnnotationBustR : An R package to extract subsequences from GenBank annotations — Research Paper | ScholarLens