Sequence Analysis TRIZ Cases
- Tile-Based Sequence Alignment Memory Optimization
Segmenting dynamic programming matrices into T×T tiles storing only edge elements reduces quadratic memory consumption while maintaining alignment accuracy.
- Assisted Local Alignment Using Sequence Variation Graphs
Assisted local alignment reduces computational complexity by focusing on matching blocks within sequence variation graphs.
- Genome Sequence Alignment Index Segmentation for Memory Efficiency
Segmenting reference genome indexes allows partial loading into limited memory, resolving the trade-off between alignment speed and high resource consumption.
- RNA Similarity Analysis via Graph Structure Reconstruction
Graph calculation method converts RNA sequence data into structure graphs to determine molecular similarity scores.
- Genomic Data Compression Using Modified Reference Genomes
Modified reference genomes align with bisulfite-treated reads, reducing mismatches and improving compression ratios for genomic data storage.