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Phylogenetic analyses were performed by using Bayesian and maximum likelihood methods on env and LTR datasets (Technical Appendix).
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Combining this subset of sequences with those from the other hosts yielded a final dataset of 2,392 sequences; this dataset had notably fewer sequences from Africa, China, and Southeast Asia than did the original dataset (Technical Appendix Table 2).
Datasets with technical problems or artifacts such as probe loss (defined as drop of temperature under 36°C as well as visual evidence of probe loss in temperature signal) were excluded from further analysis.
For the mouse datasets no technical replicates' data accompanied the dataset information.
BK helped prepare and sequence the CB IL and YK IL libraries, archived the short-read datasets, provided technical advice, and helped write the manuscript.
With a total of 993 million 50 bp reads, corresponding to an entire ABI SOLiD-3+ flowcell per measurement sample, this constitutes one of the largest RNA-Seq datasets featuring technical replicates to date.
With the compilation of large-scale RNA-Seq datasets with technical replicate samples, however, we can now, for the first time, perform a systematic analysis of the precision of expression level estimates from massively parallel sequencing technology.
Datasets are technical and critical building blocks of science and should be recognized as such by high impact and heavy citation, ensuring that creators of data are appropriately acknowledged for their work.
An important limitation of the above analysis is the potential variability between compared biological replicate datasets, as technical differences between the compared profiles may exist (e.g., sequencing depth differences; Peak caller deconvolution performance for broad patterns).
To better understand the relative noise-contributions of various factors in experimental-design, we assessed several Illumina and Affymetrix datasets for technical variation between replicate hybridisations of Universal Human Reference UHRRR) and individual or pooled breast-tumour RNA.
The RI of the complete dataset, the technical characters and the design characters were all around 0.59.
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