| Autor: |
Dueck, Hannah, Rizi Ai, Camarena, Adrian, Ding, Bo, Reymundo Dominguez, Evgrafov, Oleg, Fan, Jian-Bing, Fisher, Stephen, Herstein, Jennifer, Kim, Tae, Kim, Jae, Lin, Ming-Yi, Liu, Rui, Mack, William, McGroty, Sean, Nguyen, Joseph, Salathia, Neeraj, Shallcross, Jamie, Souaiaia, Tade, Spaethling, Jennifer, Walker, Christopher, Jinhui Wang, Wang, Kai, Wang, Wei, Wildberg, Andre, Zheng, Lina, Chow, Robert, Eberwine, James, Knowles, James, Zhang, Kun, Junhyong Kim |
| Rok vydání: |
2016 |
| DOI: |
10.6084/m9.figshare.c.3611564_d1.v1 |
| Popis: |
Accuracy and robustness of estimated reference HBR and UHR RNA expression levels. A. Consistency of abundance estimates by three quantification algorithms relative to publicly available PrimePCR measurements (see Methods ). Scatters show log10 reads per million (HTSeq [22] and Maxcounts [31]), log10 transcripts per million (RSEM), or log10 molecules (PrimePCR). Upper quadrants indicate Pearson correlation (R) of log-transformed estimates. Pairwise zeros were treated as missing values. Estimates were based on combined raw reads from 3 bulk reference samples generated using ribosomal depletion for each HBR and UHR. RSEM estimates were used as reference throughout. B. Accuracy and robustness of expression estimates across library preparation methods: ribosomal-depletion (combined n = 3 samples per HBR and UHR) and poly-A RNA selection (combined n = 4 samples per source). See Methods for sample information. Scatters as in A using RSEM expression level estimates for each library preparation method. Ribosomal-depletion samples were used as reference throughout. Abbreviations: Human Brain Reference (HBR), Universal Human Reference RNA (UHR). (PDF 469 kb) |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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