Scalable Genomic Sequence Data Pipeline Architecture

Design a robust Laravel-based microservice architecture for processing large-scale genomic sequence data, capable of handling multi-terabyte datasets from next-generation sequencing platforms. The system must implement parallel processing, support resumable uploads, provide real-time progress tracking, and include comprehensive error logging. Create a modular design that can integrate with common bioinformatics tools like BLAST and handle different file formats (FASTA, FASTQ). Include secure authentication for research teams and implement rate limiting to prevent system overload.