VisCoSe

VisCoSe computes and visualizes consensus sequences from protein and nucleotide datasets to identify conserved motifs, conservation rates, and amino acid chemical-property patterns.

Key Features:

• Consensus Sequence Calculation: Computes consensus sequences from multiple aligned or unaligned protein and nucleotide sequence sets.
• Consensus Comparison: Compares consensus sequences across different datasets to reveal evolutionary relationships and functional similarities between proteins or nucleic acids.
• Conservation Visualization: Visualizes conservation rates within sequence alignments alongside consensus sequences.
• Amino Acid Chemical-Property Visualization: Maps chemical properties of amino acids onto consensus sequences to highlight biochemical implications of sequence variation.

Scientific Applications:

• Protein Function Prediction: Identifies conserved residues and motifs that inform protein function hypotheses.
• Evolutionary Biology: Facilitates comparative analysis of conserved regions to infer evolutionary relationships among sequences.
• Structural Genomics: Highlights conserved motifs and amino-acid chemical-property patterns relevant to structure–function studies.
• Meta-analyses and Large-scale Genomics: Enables comparison of consensus sequences across multiple datasets for meta-analyses and large-scale studies.

Methodology:

Calculates consensus sequences from aligned or unaligned inputs, compares consensus sequences across datasets, and generates visualizations of consensus sequences, conservation rates within alignments, and amino acid chemical-property mappings.