BIONUMERICS
platform to analyze bioinformatics application

Data Modules

Sequence

Trend

Character

Whole Genome Map

Fingerprint

Comprehensive tools for the processing of 1-D electrophoresis profiles and spectra

Features:
⭐band matching analysis
⭐capillary sequencer fingerprint processing
⭐gel image process and normalization
⭐MALDI-TOF analysis
⭐peak quantification


To define any array of named characters, binary or continuous, with fixed or undefined length

Features:
⭐character import from a text file or an Excel spreadsheet
⭐customized display of test panels
⭐distance and similarity matrices

Assemble sequence reads ranging from single genes obtained via classical Sanger sequencing to full genomes via Next Generation Sequencing (NGS)

Features:
⭐manage next generation sequencing data
⭐Multiple sequence alignment
⭐Next generation sequencing data assembly
⭐Open reading frame analysis

All types of sequential readings that express an evolution of one parameter in function of another. The measurements are not independent but together form a curve, through which a function can be fitted

Specifications
⭐Analyze series of readings in function of a changing factor that define a trend
⭐Comparison and clustering can be done on a selected parameter or a combination of multiple parameters.

Analysis mainly focused on strain typing and characterization

Analysis Modules

Tree & Network Inference

Cluster analysis, also called unsupervised learning, is an indispensable tool

Features:
⭐Cluster analysis based on pairwise similarities
⭐Cluster significance tools
⭐Composite clustering
⭐Congruence between techniques
⭐Minimum Spanning Trees
⭐Phylogenetic tree construction

Classifiers and Identification

Identification, also called supervised learning or classification

Features:
⭐Classifiers
⭐Database screening
⭐Decision networks
⭐Identification projects

Dimensioning and Matrix Mining

Provide great interactive features, making it possible to select, add or remove entries directly on the plot, display additional database information as colors or labels, relate groupings directly to discriminatory characters, etc.

Features:
⭐ANOVA and MANOVA
⭐Multi-Dimensional Scaling (MDS)
⭐Partition mapping
⭐Principal Components Analysis (PCA) and Discriminant Analysis
⭐Self-Organizing Maps (SOM)
⭐Statistical tests and charts

Genome Analysis Tools

offers 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.

Features:
⭐Comparative genomics tools
⭐Deep sequencing of microbial communities
⭐Genome annotation

Audit Trails

enables all changes to any database object in BioNumerics to be recorded in audit trails

Features:
⭐Audit trails and versioning
⭐Digital signatures
⭐FDA 21 CFR Part 11 compliance