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comparison tin.xml @ 57:f437057e46f1 draft

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planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 7d7cd4324af66710b89801a1a1c79fb8abf0d146
author iuc
date Thu, 27 Sep 2018 14:23:52 -0400
parents 5873cd7afb67
children 1a052c827e88
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56:daae0a118c36 57:f437057e46f1
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 http://www.illumina.com/documents/products/technotes/technote-truseq-rna-access.pdf). 92 https://www.illumina.com/content/dam/illumina-marketing/documents/products/technotes/technote-truseq-rna-access.pdf).
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