Hidden Markov Models in Sequence Analysis
Hidden Markov models are probabilistic frameworks for modeling sequence patterns in gene finding, alignment, and protein family classification.
BiologyK-mer Analysis: Sequence Composition and Frequency
K-mer analysis counts short substrings of length k in sequences for genome characterization, error correction, and metagenomic binning.
BiologyMotif Discovery: Finding Regulatory Patterns in Sequences
Motif discovery identifies short, conserved sequence patterns that represent binding sites or functional elements.
BiologyMultiple Sequence Alignment: Comparing Three or More Sequences
Multiple sequence alignment extends pairwise alignment to compare multiple homologous sequences for phylogenetic and functional analysis.
BiologyPrimer Design for PCR and Sequencing
Primer design creates short oligonucleotides with optimal thermodynamics and specificity for PCR amplification and sequencing reactions.
BiologyPromoter Analysis: Identifying Regulatory Regions
Promoter analysis identifies transcription start sites and regulatory elements that control gene expression.
BiologySequence Alignment: Pairwise Comparison of Biological Sequences
Sequence alignment arranges DNA, RNA, or protein sequences to identify regions of similarity and evolutionary relationships.
BiologySequence Assembly: Reconstructing DNA from Fragments
Sequence assembly algorithms merge overlapping DNA fragments into contiguous sequences for genome and transcriptome reconstruction.
BiologySequence Database Search with BLAST
BLAST finds regions of local similarity between query sequences and database entries for functional and evolutionary inference.
BiologyBinding Site Prediction: Identifying Functional Regions
Binding site prediction identifies regions on proteins that interact with ligands, substrates, or other macromolecules.
BiologyComputational Protein Design: Engineering Novel Proteins
Computational protein design creates novel protein sequences that fold into desired three-dimensional structures with specific functions.
BiologyCryo-EM Structure Analysis: Computational Processing
Cryo-electron microscopy structure analysis uses computational methods to reconstruct three-dimensional macromolecular structures from microscopic images.
Biology
