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Supplementary information for GIL: A python package for designing custom indexing primers

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/7922538
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Supplementary information for GIL: A python package for designing custom indexing primers. Final_Indexes.zip contains the output from GIL run with default parameters. The first plate of generated indexing primers were ordered and used to create 44 Illumina sequencing libraries. BCL files from a MiSeq Nano run of the 44 libraries were successfully demultiplexed with bcl2fastq using the sample sheets generated by GIL. Analysis of sequences that were not demultiplexed successfully to determine deletion frequency in index sequences can be found in demultiplexing_tests.zip, along with relevant fastq and stats files.
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2023-05-11
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