Dataset Information

NovoSNP, a novel computational tool for sequence variation discovery.

ABSTRACT: Technological improvements shifted sequencing from low-throughput, work-intensive, gel-based systems to high-throughput capillary systems. This resulted in a broad use of genomic resequencing to identify sequence variations in genes and regulatory, as well as extended genomic regions. We describe a software package, novoSNP, that conscientiously discovers single nucleotide polymorphisms (SNPs) and insertion-deletion polymorphisms (INDELs) in sequence trace files in a fast, reliable, and user-friendly way. We compared the performance of novoSNP with that of PolyPhred and PolyBayes on two data sets. The first data set comprised 1028 sequence trace files obtained from diagnostic mutation analyses of SCN1A (neuronal voltage-gated sodium channel alpha-subunit type I gene). The second data set comprised 9062 sequence trace files from a genomic resequencing project aiming at the construction of a high-density SNP map of MAPT (microtubule-associated protein tau gene). Visual inspection of these data sets had identified 38 sequence variations for SCN1A and 488 for MAPT. novoSNP automatically identified all 38 SCN1A variations including five INDELs, while for MAPT only 15 of the 488 variations were not correctly marked. PolyPhred detected far fewer SNPs as compared to novoSNP and missed nearly all INDELs. PolyBayes, designed for the sequence analysis of cloned templates, detected only a limited number of the variations present in the data set. Besides the significant improvement in the automated detection of sequence variations both in diagnostic mutation analyses and in SNP discovery projects, novoSNP also offers a user-friendly interface for inspecting possible genetic variations.

SUBMITTER: Weckx S

PROVIDER: S-EPMC551570 | biostudies-literature | 2005 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

novoSNP, a novel computational tool for sequence variation discovery.

Weckx Stefan S Del-Favero Jurgen J Rademakers Rosa R Claes Lieve L Cruts Marc M De Jonghe Peter P Van Broeckhoven Christine C De Rijk Peter P

Genome research 20050301 3

Technological improvements shifted sequencing from low-throughput, work-intensive, gel-based systems to high-throughput capillary systems. This resulted in a broad use of genomic resequencing to identify sequence variations in genes and regulatory, as well as extended genomic regions. We describe a software package, novoSNP, that conscientiously discovers single nucleotide polymorphisms (SNPs) and insertion-deletion polymorphisms (INDELs) in sequence trace files in a fast, reliable, and user-fri ...[more]

PMID: 15741513

Similar Datasets

Project description:Novel sequences are DNA sequences present in an individual's genome but absent in the human reference assembly. They are predicted to be biologically important, both individual and population specific, and consistent with the known human migration paths. Recent works have shown that an average person harbors 2-5 Mb of such sequences and estimated that the human pan-genome contains as high as 19-40 Mb of novel sequences. To identify them in a de novo genome assembly, some existing sequence aligners have been used but no computational method has been specifically proposed for this task. In this work, we developed NSIT (Novel Sequence Identification Tool), a software that can accurately and efficiently identify novel sequences in an individual's de novo whole genome assembly. We identified and characterized 1.1 Mb, 1.2 Mb, and 1.0 Mb of novel sequences in NA18507 (African), YH (Asian), and NA12878 (European) de novo genome assemblies, respectively. Our results show very high concordance with the previous work using the respective reference assembly. In addition, our results using the latest human reference assembly suggest that the amount of novel sequences per individual may not be as high as previously reported. We additionally developed a graphical viewer for comparisons of novel sequence contents. The viewer also helped in identifying sequence contamination; we found 130 kb of Epstein-Barr virus sequence in the previously published NA18507 novel sequences as well as 287 kb of zebrafish repeats in NA12878 de novo assembly. NSIT requires [Formula: see text]2GB of RAM and 1.5-2 hrs on a commodity desktop. The program is applicable to input assemblies with varying contig/scaffold sizes, ranging from 100 bp to as high as 50 Mb. It works in both 32-bit and 64-bit systems and outperforms, by large margins, other fast sequence aligners previously applied to this task. To our knowledge, NSIT is the first software designed specifically for novel sequence identification in a de novo human genome assembly.

Dataset Information

NovoSNP, a novel computational tool for sequence variation discovery.

Publications

novoSNP, a novel computational tool for sequence variation discovery.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets