Course Content
Biopython Fundamentals
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Introduction to Sequence Annotation

  • Sequence annotation involves the identification and labeling of various features in a biological sequence.
  • Annotation provides valuable information about the functional elements, coding regions, regulatory sites, and more.

Importance of Sequence Annotation

  • Sequence annotation plays a crucial role in genome analysis, functional genomics, and comparative genomics.
  • Annotation helps in understanding gene structure, gene function, and evolutionary relationships.

Sequence Features

  • Sequence features are represented using different formats such as GenBank, GFF, and BED.
  • Biopython provides modules to read, write, and manipulate sequence annotations and features.

GenBank Format

  • GenBank is a widely used format for storing biological sequence annotations.
  • It includes information about the sequence, features, references, and more.
from Bio import SeqIO

genbank_file = "sequence.gb"

for record in SeqIO.parse(genbank_file, "genbank"):
    print("Sequence ID:", record.id)
    print("Sequence Description:", record.description)
    print("Sequence Features:", record.features)
  • Read a GenBank file using the SeqIO.parse() function.
  • Iterate over each record in the file.
  • Access the ID, description, and features of each sequence record.
  • Print the sequence ID, description, and features.

GFF Format

  • GFF (General Feature Format) is a flexible format for representing sequence annotations.
  • It contains information about sequence features, their locations, and attributes.
from Bio import SeqIO

gff_file = "sequence.gff"

for record in SeqIO.parse(gff_file, "gff"):
    print("Sequence ID:", record.id)
    print("Sequence Description:", record.description)
    print("Sequence Features:", record.features)
  • Read a GFF file using the SeqIO.parse() function.
  • Iterate over each record in the file.
  • Access the ID, description, and features of each sequence record.
  • Print the sequence ID, description, and features.

BED Format

  • BED (Browser Extensible Data) format is used for representing genomic annotations.
  • It includes information about genomic intervals, features, and associated data.
from Bio import SeqIO

bed_file = "sequence.bed"

for record in SeqIO.parse(bed_file, "bed"):
    print("Sequence ID:", record.id)
    print("Sequence Description:", record.description)
    print("Sequence Features:", record.features)
  • Read a BED file using the SeqIO.parse() function.
  • Iterate over each record in the file.
  • Access the ID, description, and features of each sequence record.
  • Print the sequence ID, description, and features.

Summary

  • Sequence annotation plays a crucial role in understanding biological sequences.
  • Different file formats such as GenBank, GFF, and BED are used to represent sequence annotations.
  • Biopython provides modules to read, write, and manipulate sequence annotations and features.