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Additional file 7: Figure S4. of Measure transcript integrity using RNA-seq data

Authors :
Liguo Wang
Jinfu Nie
Sicotte, Hugues
Li, Ying
Eckel-Passow, Jeanette
Surendra Dasari
Vedell, Peter
Poulami Barman
Liewei Wang
Weinshiboum, Richard
Jen, Jin
Haojie Huang
Kohli, Manish
Kocher, Jean-Pierre
Publication Year :
2016
Publisher :
Figshare, 2016.

Abstract

Evaluating TIN (x-axis) metric using transcript level RNA fragment size (y-axis) for 12 Glioblastoma (GBM) samples [5]. (a)-(c) Three samples with RIN value of 10 (red); (d)-(e), two samples with RIN value of 8 (purple); (f)-(h) three samples with RIN value of 6 (orange); (i)-(k) three samples with RIN value of 4 (blue); (l) one sample with RIN value of 2 (cyan). Each dot represents 50 transcripts. Black curves indicate locally weighted polynomial regression curves. r, Pearson correlation coefficient. (PDF 1490 kb)

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....84ef5448b7fd968cc3498ad696adf82a
Full Text :
https://doi.org/10.6084/m9.figshare.c.3611075_d17.v1