Our linkage using non-unique identifiers yielded 98% specificity, 95% sensitivity, and 98% positive predictive value compared with the linkage method using both non-unique and unique identifiers.
Our linkage using non-unique identifiers yielded 98% specificity, 95% sensitivity, and a 98% positive predictive value compared with the linkage method using both non-unique and unique identifiers.
The numbers of CNSs retrieved using whole coding thresholds were 52,124, 12,378, 4,059, and 1,779, whereas the numbers retrieved using skip3 thresholds were 7,104, 2,118, 1,390, and 1,733, for primate unique, eutherian unique, mammalian unique, and tetrapod common, respectively.
We implemented three different mapping protocols in our study to address three specific base assumptions about how mapping should be done and are referred as follows: "unique", "non-unique", and "non-unique, spliced".
We compared small RNA (sno and micro) and riboprotein biases using three different mapping parameters: unique, non-unique, and non-unique splicing (NUS).
We classified the overlapping part (overlapping lincRNAs) and the unique part (unique lincRNAs) from two datasets, and compared their stabilities.
Querying the PICKLE dataset, we identified HPRD, IntAct, MINT, DIP and BioGRID reporting, respectively, 19 (2 unique), 5 (0 unique), 143 (48 unique), 53 (15 unique) and 1423 (909 unique) polyubiquitin PPIs.
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