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For the United States military, assessing trends is often a matter of comparing trends identified by different databases and statistical methodologies.
Furthermore, iRefWeb compares the information extracted from the same publication by different databases, and offers means to follow-up possible inconsistencies.
Criteria for presence of exon 1 included: comparison of the number and location of exons in orthologous genes, alignment of transcripts of the gene as reported by different databases, and alignment of the 5' end of the transcript with the putative start site and signals in the gene.
Conflicts of annotation introduced by different databases and conflicts introduced by different tools between databases are only marked if they represent a conflict in classification, e.g., a genomic locus is marked as a conflict if annotated as both snoRNA and miRNA.
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But exactly how much information is shared by the different databases and how much is unique, is generally not well documented, because comparing and integrating PPI information across the databases remains a challenging undertaking.
Depending on the architecture and data storage systems used by different databases, the procedures of pathway data visualization, access, storage and the analysis also differ significantly (17).
Few tools have been developed by different databases, (e.g. KegArray by KEGG and online tools by CPDB for microarray data analysis), but a concerted effort to bring all the useful tools for pathway analysis in a common platform is still missing.
Also with the existing resources, it is not always possible mapping unambiguously between sequences and equivalent protein structures provided by different databases.
A study of curated protein-interaction data examined variation in curation of the same papers by different database projects, and found that differences in curated facts reflected both divergent curation policies for those databases, as well as curation errors (14).
Results show that the disagreements on the annotated organism and annotation of PPIs from different organisms by different databases are quite common.
The results show that prediction of pathway cross-talks by FBA is robust and reproducible even though the pathways curated by different databases are diverse.
More suggestions(15)
by different agencies and
by different individuals and
by different factors and
by different types and
by different stimuli and
by different providers and
by different companies and
by different institutions and
by different researchers and
by different investigators and
by different mutations and
by different operators and
by different surgeons and
by different organizations and
by different groups and
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