BioNumerics
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Application data |
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| Biological application domain(s) | General bioinformatics (pipeline), Comparative genomics, Quality Control, Data handling, De novo sequencing, Epidemiology, Microbial Surveillance, Genotyping, Whole genome resequencing, Sequence analysis |
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| Principal bioinformatics method(s) | assembly, Whole genome resequencing, Mapping, Annotation, Allele calling, Comparative genomics, Analysis Pipeline |
| Technology | Sanger, Illumina, Ion Torrent, PacBio |
| Created at | Applied Maths NV |
| Maintained? | Yes |
| Input format(s) | .ab1, (C)FAST(A/Q), .bam, FNAQual, Compressed fastq, And many others. |
| Software version | 7.5 |
| Licence | Commercial |
| Operating system(s) | Windows 7 or Higher |
| Contact: | info@applied-maths.com |
Summary: BioNumerics is a suite of bioinformatics software applications developed by the company Applied Maths NV. BioNumerics can be used for the analysis of all major applications in bioinformatics: 1D electrophoresis gels, chromatographic and spectrometric profiles, phenotype characters, microarrays, sequences, etc. BioNumerics is able to combine information from various genomic and phenotypic sources into one global database and conduct conclusive analyses
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Description
BioNumerics was released in 1996 and is still today a platform for the management, storage and (statistical) analysis of all types of biological data. BioNumerics is used by several networks around the globe to share and identify strain information. Pulsenet, a network run by the Centers for Disease Control and Prevention (CDC), uses BioNumerics to distinguish pulsed field gel electrophoresis (PFGE) patterns from different strains of organisms [1][2] Calicinet, an outbreak surveillance network for noroviruses, uses BioNumerics to submit norovirus sequences and basic epidemiologic information to a central database.
The software allows powerful databasing, integrated networking and a wide range of analysis, visualization and decision-making tools, including data mining, querying, clustering, identification, statistics, and much more. It is the only software platform that offers integrated analysis of all major applications in Bioinformatics: 1D electrophoresis gels, all kinds of chromatographic and spectrometric profiles, phenotype characters, microarrays, and sequences. The unique power of BioNumerics lies in its ability to combine information from various genomic and phenotypic sources into one global database and conduct conclusive analyses.
The functionalities on next generation sequences include de novo assembly with several algorithms, reference based assembly, mapping to a reference, annotation, side-by-side comparison of genomes and chromosomes, genome annotation, analysis of organization and functional behavior of genomes, alignment of multiple chromosomes and chromosome-based SNP analysis.
http://www.applied-maths.com/bionumerics
Links
References
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