Prider

Prider designs oligonucleotide primers and probes for large and heterogeneous DNA sequence sets to achieve near-optimal coverage with a minimal number of oligonucleotides.

Key Features:

• Linear scalability: Employs a linearly scalable algorithm suitable for large input DNA sequence sets.
• Comprehensive coverage construction: Constructs an initial comprehensive primer coverage across the input sequences.
• Redundancy and narrow-coverage pruning: Refines the initial coverage by removing redundant components and primers with narrow coverage to produce a near-optimal minimal set.
• Data frame output: Provides resulting primers as data frames for integration into downstream analyses.
• Coverage visualization: Generates heatmap visualizations of primer coverage across input sequences.

Scientific Applications:

• Primer and probe design for heterogeneous datasets: Designs primers and probes for complex and highly diverse DNA sequence collections.
• Large-scale genomic studies: Applies to large-scale genomic studies requiring scalable primer and probe selection.
• Oligonucleotide set optimization: Optimizes selection to minimize the number of oligonucleotides while maximizing sequence coverage.

Methodology:

Implements a linearly scalable algorithm that constructs an initial comprehensive primer coverage and then refines it by removing redundant components and those with narrow coverage to yield a near-optimal primer set.