Porechop_ABI

Porechop_ABI identifies and trims adapter sequences from Oxford Nanopore Technologies (ONT) reads without prior knowledge of specific adapter sequences, enabling detection of variable or undocumented adapters.

Key Features:

• Ab initio adapter detection: Detects adapter sequences directly from ONT reads without requiring predefined adapter sequences.
• Approximate k-mer algorithm: Implements an algorithm based on approximate k-mers to locate candidate adapter sequences.
• Frequency-based pattern analysis: Identifies potential adapters by analyzing the frequency of sequence patterns within ONT reads.
• Adapter trimming: Detects and trims adapter sequences from sequencing reads.
• Validation across ONT setups: Tested across various ONT datasets including different flowcells, sequencing kits, and basecallers.
• Extension of Porechop: Expands the original Porechop functionality to include ab initio adapter detection.

Scientific Applications:

• Detection of undocumented or variable adapters: Enables discovery of adapter sequences when they are not well-documented or vary between sequencing runs.
• Preprocessing of ONT datasets: Provides adapter trimming for ONT data generated with different flowcells, sequencing kits, and basecallers.

Methodology:

Applies an algorithm based on approximate k-mers that analyzes frequency of sequence patterns in ONT reads to detect candidate adapters and trim them.