To identify whether the genes identified for the PDZome dataset were essential for life of the particular organism investigated, we queried WormBase version 194, the Yeast Deletion Project and the E. coli phenotype dataset, assembled by Gerdes et al. [46] for (embryonic) lethal mutants.
The standardization of ADE datasets is essential for enabling interoperability and comparability among heterogeneous data sources.
The integration of smRNAs into the existing functional genomics datasets is essential for a better understanding of the cellular, physiological and ecological processes [ 1, 4, 5, 7].
The approach described in this research demonstrates that highly reproducible experiments and correct normalization of the datasets are essential for obtaining reliable results.
Since the ability to process current datasets efficiently is essential for modern genetics, a modular bioinformatics platform providing extensive sequence analysis methods, is designated to achieve well the constantly growing requirements.
Adherence to established standards, alongside proven reproducibility and correlation within and between datasets produced by different microarray platforms, is essential for the usefulness of such databases.
Ample genome annotation is essential for interpreting large gene expression datasets [ 21].
Tracing synonyms is essential for establishing congruence among different gene datasets that have used different names for the same taxa.
Stamina is essential for triathlon.
