Dfam

Dfam provides collections of transposable element (TE) DNA sequence alignments, hidden Markov Models (HMMs), consensus sequences, protein alignments, and genome annotations to enable identification, classification, and comparative analysis of transposable elements across species.

Key Features:

• Transposable Element Families: Includes a comprehensive set of TE families derived from curated and uncurated datasets, expanded to represent a broad spectrum of species beyond traditional model organisms.
• Hidden Markov Models (HMMs): Supplies HMMs for the identification and classification of transposable elements within genomic sequences.
• Consensus Sequences: Provides auxiliary consensus sequence models that represent TE family sequences.
• DNA Sequence Alignments: Contains extensive collections of TE DNA sequence alignments used for family definition and analysis.
• Protein Alignments: Includes alignments of transposable element proteins for functional and comparative studies.
• Genome Annotations: Provides genome annotations of transposable elements for integration into genomic analyses.
• Formalized Classification System: Maintains a structured classification system to support the diversity of organisms and TE families represented.
• De Novo Generated TE Families: Incorporates 266,740 de novo generated transposable element families from 336 species contributed by the European Bioinformatics Institute (EBI).

Scientific Applications:

• Genomic Annotation: Supports annotation of genomes with detailed TE models, alignments, and annotations for integration into genomic feature sets.
• Evolutionary Studies: Enables comparative and evolutionary analyses of TE families across multiple species using alignments, consensus sequences, and classification data.
• Functional Genomics: Facilitates functional analyses of TEs through protein alignments and consensus sequences to investigate roles in genomic regulation and stability.

Methodology:

Employs hidden Markov Models (HMMs), DNA and protein sequence alignments, de novo generation of TE families, and other computational techniques to generate, classify, and annotate transposable element families.