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The algorithms developed in this study discover all valid biclusters of each type, while almost all previous biclustering approaches will miss some.
Absence of this cavity in the noninhibited enzyme reveals a severe limitation of most present-day docking-based virtual screening methods for drug identification, as such approaches will miss such a cryptic binding site.
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By definition, a candidate gene approach will miss these uncharted parts of the signaling cascade.
Of course this approach will miss some TS-related publications that do not appear in PubMed, or that will be indexed in PubMed in coming months.
However, this approach will miss ncRNAs that overlap protein-coding genes, either sense or antisense, and ncRNA genes that are unique to a genome.
Second, ChIP-Seq tags that were not uniquely mapped to the genome were discarded, so our approach will miss some regions with segmental duplication and repeat elements.
However, this approach will miss many genes that have not yet been linked to an essential function in one of the model species.
This problem is for the most part irrelevant for the neo-X transcriptome, which can be assembled directly in females (but note that this approach will miss male-specific neo-X transcripts).
While this approach will miss a lot of potential cytoplasmic proteins, this dataset is of high specificity and contains proteins that are not part of any SCL predictor's training dataset.
Further, a phylogeographic approach will miss very recent episodes of local adaptation and genetic isolation where sufficient time has not elapsed such that mtDNA sequence trees show distinct genetic partitions (Pease et al. 2009).
This approach will miss potential donor species that are not represented within the database but allows for an approximate estimation of the extent to which HGT occurs within phylogroups, between phylogroups or from other species.
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