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The need to integrate proteomics datasets from multiple species [ 17– 19] has increased recently with the growing availability of large-scale datasets of PTMs from these organisms.
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This facilitates the comparison of datasets derived from multiple species, and should be a valuable tool for the proteomics community.
First, the protein coding sequences in the training dataset were obtained from multiple species.
Previously developed methods of analyzing co-expression patterns across species have relied on producing matched datasets, in which comparable timepoints were collected from multiple species exposed to the same conditions [ 24].
Recent exponential growth in microarray expression datasets allows researchers to combine expression experiments from multiple species to identify genes that are not only conserved in sequence but also operated in a similar way [ 3].
These results suggest that studies of combinatorial TF binding in primary tissues from multiple species will provide valuable datasets that are currently missed bin current integrative analyses.
Ideally, such a comparison would use completely sequenced, assembled and annotated genome sequences from multiple species, but this is yet possible with current datasets.
One can trace these features across numerous lineages of birds from multiple species.
Seed TIRs and TRs were selected from multiple species.
The TIRs and TRs were from multiple species [ 47- 49].
While previous studies concentrated on elements from one species, we analyzed elements from multiple species.
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