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Exact(5)
Only IORs that met the criteria of a minimal read count were considered for further analysis.
Identification of new sRNAs was based on selecting interoperonic regions (IORs) with a minimal read count of 50.
Thus, IORs expressed at a minimal read count of 50 and were also computationally predicted to contain sRNAs in the expressed IORs, were manually curated to eliminate false positives.
The transcript detection cutoff was determined to be the minimal read count above which all transcripts are detected in two independently prepared libraries from the same starting RNA sample (Additional file 1).
Enriched regions in ChIP-Seq data are determined using a threshold for a minimal read count difference at a particular region between the ChIP sample and input DNA while RNA-Seq data is analyzed using a global threshold for a minimal number of mapped reads.
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First, we selected IORs with RNA-seq expression exceeding a minimal value of read counts based on the previously annotated sRNAs as well as annotated ORFs (protein coding mRNAs).
The read count error equals 5√N/N, which decreases as the read count increases and is negligible for large read counts.
The reads were normalized to the total read count.
(A) Protein abundance versus miRNA read count.
(B) Transcript abundance versus miRNA read count.
The remaining 82 sRNAs had a read count distribution more skewed towards lower read counts.
More suggestions(15)
minimal hop count
minimal gametocyte count
minimal read mapping
minimal read cut-off
minimal vision count
minimal leukocyte count
minimal read nonexistent
minimal haemoglobin count
minimal firing count
minimal ratio count
minimal part count
minimal platelet count
minimal spike count
minimal read coverage
minimal read length
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