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Everything about Sequence alignment

Process in bioinformatics that identifies equivalent sites within molecular sequences

In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences. Aligned sequences of nucleotide or amino acid residues are typically represented as rows within a matrix. Gaps are inserted between the residues so that identical or similar characters are aligned in successive columns. Sequence alignments are also used for non-biological sequences such as calculating the distance cost between strings in a natural language, or to display financial data. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Sequence alignmentA 5-minute orientation
  2. Skim a recent paper: Muscle5: High-accuracy alignment ensembles enable unbiased assessments of sequence homology and phylogenyInfluential work since 2022
  3. Pick up a classic book: Bioinformatics for high throughput sequencingThe most-reprinted book on the subject
  4. Read the landmark paper: The Sequence Alignment/Map format and SAMtoolsCited 61,847 times
  5. Go sideways: Multiple sequence alignmentA closely related topic
  6. Go sideways: FASTAA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Interpretation
  2. Alignment methods
  3. Representations
  4. Global and local alignments
  5. Pairwise alignment
  6. Multiple sequence alignment
  7. Structural alignment
  8. Phylogenetic analysis
  9. Other biological uses
  10. Non-biological uses
  11. Software

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics