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Each transcript costs $10.

Each transcript must be uploaded separately.

Subsequently each transcript were trained by SNAP7, GENEMARK8, and AUGUSTUS9.

The number of reads aligning to each transcript were counted using an ad hoc Python script.

Each transcript level determined by RT-qPCR analysis was normalized with TUA19.

Each dot represents the mean spacer count for each transcript, n = 4 independent biological samples.

After several readings, each transcript was then coded so that particular themes could be identified and evidenced.

The expression level of each transcript was expressed relative to that of Gapdh using the 2−ΔΔCt method36.

Reads overlapping exonic SNP positions were identified, and HTSeq was used to count these SNP-containing reads for each transcript.

Scan each transcript and upload into the online application system or upload digital versions.

Submit all available pages of each transcript, including pages that detail your institution's grading scale.

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