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Another type of RNAseq differential gene expression analysis is based on read count.
The current version of MultiRankSeq only considers methods based on read count data.
Although 454 technologies have low sequencing depth, we estimated the NBS-LRR gene expression profiles based on read count.
TSSs were identified by a significant increment in read count compared to average background and quantified based on read count over the subsequent 50 bp.
In 2013, Boegel et al. suggested a greedy algorithm (seq2HLA) based on read count maximization for RNA-Seq data (Boegel et al., 2013).
Fold change cutoffs as calculated based on read count error within technical replicates are 1.36, 1.68, and 2.25-fold for false calling rates of 5%, 1%, and 0.1%, respectively.
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In addition, one can generate a taxonomic profile by quantifying the assigned reads, based on read counts or coverage for each individual bin.
To eliminate the influence of different gene lengths and sequence discrepancies on expression calculations, gene expression levels based on read counts obtained by RSEM (version v1.2.15) were normalized using FPKM (fragments per kilo bases per million fragments) transformation (Li and Dewey 2011).
Furthermore, we have a basic algorithm to derive a set of coordinates from DS data based on read counts or sequencing coverage.
Differentially expressed genes were selected using the Bioconductor package DEGSeq based on read counts following a Poisson distribution model [ 86].
We produced a ranked list based on read counts and manually analyzed the secondary structures of the most highly expressed.
More suggestions(15)
based on read density
based on read support
based on read recruitment
based on read abundance
based on read depth
based on read start
based on read mapping
based on read code
based on read speech
based on read mate-pairing
based on read quality
based on read length
based on read information
based on read representation
based on read coverage
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