GIL

GIL generates index primers for multiplexed sequencing libraries, enabling customizable primer length, color balancing, and compatibility with existing primers for demultiplexing on platforms such as Illumina.

Key Features:

• Customization: Supports specification of primer length, sequencing modality (e.g., Illumina), and color balance constraints during index design.
• Compatibility: Checks designed primers for compatibility with existing primer sets to avoid conflicts in multiplexed experiments.
• Output Formats: Produces order-ready primer sequences and demultiplexing-ready outputs for downstream sequencing workflows.

Scientific Applications:

• Genomic Research: Enables multiplexed sequencing to facilitate study of genetic variation across multiple samples.
• Transcriptomics: Supports RNA-seq experiments by providing indexing and pooling strategies for numerous samples.
• Metagenomics: Supports sequencing of diverse microbial communities from environmental or clinical samples through indexed library preparation.

Methodology:

Implemented as a Python package that integrates user-defined parameters to generate primer sequences, applies color-balance and compatibility checks, and outputs order-ready and demultiplexing-ready files.