As the "hard" cost of sequencing continues to drop, the "soft" cost of analyzing the resulting data has become the primary bottleneck in genomic research. In late 2025, the industry is responding with a new generation of cloud-based bioinformatics platforms that automate the most complex parts of the transcriptomic workflow. These software solutions use advanced algorithms to clean, align, and...
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