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NucDiff: in-depth characterization and annotation of differences between two sets of DNA sequences
- Source :
- BMC Bioinformatics, Vol 18, Iss 1, Pp 1-14 (2017)
- Publication Year :
- 2017
- Publisher :
- BMC, 2017.
-
Abstract
- Abstract Background Comparing sets of sequences is a situation frequently encountered in bioinformatics, examples being comparing an assembly to a reference genome, or two genomes to each other. The purpose of the comparison is usually to find where the two sets differ, e.g. to find where a subsequence is repeated or deleted, or where insertions have been introduced. Such comparisons can be done using whole-genome alignments. Several tools for making such alignments exist, but none of them 1) provides detailed information about the types and locations of all differences between the two sets of sequences, 2) enables visualisation of alignment results at different levels of detail, and 3) carefully takes genomic repeats into consideration. Results We here present NucDiff, a tool aimed at locating and categorizing differences between two sets of closely related DNA sequences. NucDiff is able to deal with very fragmented genomes, repeated sequences, and various local differences and structural rearrangements. NucDiff determines differences by a rigorous analysis of alignment results obtained by the NUCmer, delta-filter and show-snps programs in the MUMmer sequence alignment package. All differences found are categorized according to a carefully defined classification scheme covering all possible differences between two sequences. Information about the differences is made available as GFF3 files, thus enabling visualisation using genome browsers as well as usage of the results as a component in an analysis pipeline. NucDiff was tested with varying parameters for the alignment step and compared with existing alternatives, called QUAST and dnadiff. Conclusions We have developed a whole genome alignment difference classification scheme together with the program NucDiff for finding such differences. The proposed classification scheme is comprehensive and can be used by other tools. NucDiff performs comparably to QUAST and dnadiff but gives much more detailed results that can easily be visualized. NucDiff is freely available on https://github.com/uio-cels/NucDiff under the MPL license.
Details
- Language :
- English
- ISSN :
- 14712105
- Volume :
- 18
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- BMC Bioinformatics
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.580559de4393483a97466cd687e6581f
- Document Type :
- article
- Full Text :
- https://doi.org/10.1186/s12859-017-1748-z