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Mapping of transcript clusters to UniGene identifiers Transcript cluster IDs were assigned to their corresponding UniGene clusters using transcript_annot file [80].
The high identity (95%) cutoff minimizes false mapping of transcript sequences to incomplete genomes.
The identification of in vivo targets by iCLIP enabled the mapping of transcript regions and RNA classes bound by SAFB1.
Common downstream processing steps for RNA-Seq experiments include the mapping of transcript variants to genomic coordinates to determine conservation of the corresponding regions.
QTL mapping of transcript abundances as quantitative traits identified both local regulatory effects (e.g. cis-regulation) and distant effects (trans-regulation) [ 74].
Unlike the limited number of experimentally produced promoter binding sites, alternative promoter sites have been assessed by genome-wide mapping of transcript 5' ends [ 14].
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Of notable significance are the 'global' methods based on mapping of transcripts with the endoribonuclease H (RNase H) and oligonucleotide scanning arrays.
Analyses were based upon a between-chip mapping of transcripts represented on the Human Genome U133 Plus 2.0 and transcripts on the Affymetrix Mouse Genome 430 2.0 array.
The mapping of transcripts or genes between the mouse signature and the human tumor array datasets was made on the Entrez Gene identifier; where multiple human array probe sets referenced the same gene, the probe set with the highest variation represented the gene.
Mapping of transcripts onto the A. gambiae genome was beneficial in the gene discovery process.
(D ) Chromatograms showing sequence from 3′RACE mapping of transcripts at HMS2, BAT2, and SUT650 (HMS2 antisense).
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