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comparison tin.xml @ 58:1a052c827e88 draft

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"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 57f71aa633a43ab02bbf05acd0c6d7f406e01f1e"
author iuc
date Thu, 28 Nov 2019 15:56:37 -0500
parents f437057e46f1
children dbedfc5f5a3c
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57:f437057e46f1 58:1a052c827e88
87 complex”. Therefore, RIN is practically not very useful in downstream 87 complex”. Therefore, RIN is practically not very useful in downstream
88 analysis such as adjusting the gene expression count. 88 analysis such as adjusting the gene expression count.
89 89
90 * RIN has very limited sensitivity to measure substantially degraded RNA 90 * RIN has very limited sensitivity to measure substantially degraded RNA
91 samples such as preserved clinical tissues. (ref: 91 samples such as preserved clinical tissues. (ref:
92 https://www.illumina.com/content/dam/illumina-marketing/documents/products/technotes/technote-truseq-rna-access.pdf). 92 https://www.scribd.com/document/352764986/DV200-Technote-Truseq-Rna-Access).
93 93
94 To overcome these limitations, we developed TIN, an algorithm that is able 94 To overcome these limitations, we developed TIN, an algorithm that is able
95 to measure RNA integrity at transcript level. TIN calculates a score (0 <= 95 to measure RNA integrity at transcript level. TIN calculates a score (0 <=
96 TIN <= 100) for each expressed transcript, however, the medTIN (i.e. 96 TIN <= 100) for each expressed transcript, however, the medTIN (i.e.
97 meidan TIN score across all the transcripts) can also be used to measure 97 meidan TIN score across all the transcripts) can also be used to measure