Knowra Bioinformatics Bioinformatics Bioinformatics develops computational methods to store, analyze, and interpret biological data. It connects biological questions with algorithms, statistics, and data infrastructure.
DNA sequencing : DNA sequencing determines the order of nucleotide bases in a DNA molecule. Sequence data are a central input for computational analysis.
Sequence alignment : Sequence alignment arranges DNA, RNA, or protein sequences to expose corresponding positions and differences. Alignment reveals similarity, mutations, and conserved regions in sequence data.
Genomics : Genomics studies the structure, function, evolution, and interactions of genomes. Bioinformatics enables analysis across entire genomes rather than isolated genes.
Margaret Oakley Dayhoff : Margaret Oakley Dayhoff was a chemist who pioneered computational analysis of protein sequences and biological data collections. Her protein sequence atlas established an early model for computational molecular research.
Reproducible research : Reproducible research uses transparent methods and accessible materials so findings can be independently checked. Computational results depend on software versions, parameters, and processing choices.
Genome : A genome is the complete set of genetic material in an organism or cell. Genome-scale analysis is a major source of bioinformatics questions.
BLAST : BLAST is a family of algorithms for finding locally similar sequences in biological databases. It makes rapid database searches practical for newly obtained sequences.
Transcriptomics : Transcriptomics studies the RNA molecules produced by cells, tissues, or organisms. Computational workflows quantify gene expression across samples.
Atlas of Protein Sequence and Structure : The Atlas of Protein Sequence and Structure was a reference work compiling protein sequences and related information. It organized molecular data for systematic comparison and computational study.
Batch effect : A batch effect is systematic variation caused by differences in sample processing or measurement conditions. It can masquerade as a biological pattern in large datasets.
Show all 28