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We thus performed extensive target gene predictions using the UNION and the INTERSECTION mode offered by the web-based prediction machine DIANA miRGen [42].
As seen in Fig. S3, all three microRNAs analyzed share most of the proteins predicted by miRGen's INTERSECTION mode, with only miR-17 lacking a few predicted targets.
MiRGen was used in the UNION mode (collection of all predictions from 6 algorithms) as well as in the INTERSECTION mode (presenting all target genes predicted by algorithms PicTar AND TargetScan), the latter resulting in less but more reliable predictions.
The altered intersection mode and shape of the mutant epithelial cells were also accompanied by aberrant cell alignment.
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Gene counts were determined using HTSeq v0.6.1 [ 42] in intersection-nonempty mode (−m intersection-nonempty).
Reads aligning to exons were counted by HTSeq [ 43], using the "intersection-strict" mode.
HTSeq-counts version 0.5.4 was run with options to deal with non-stranded reads in the intersection-nonempty mode.
Read counts for each transcript were obtained with HTSeq [ 32], specifically the intersection-nonempty mode of htseq-count.
Read counts for each gene were obtained with HTSeq version 0.5.4, specifically the intersection-nonempty mode of htseq-count.
Read counts per sample were obtained using HTseq version 0.5.4p1 using "intersection-strict" mode, whereby the whole read must map to a single transcript to be counted.
Because of the "intersection-strict" mode applied to HTSeq, some of the reads that map ambiguously to a gene were removed and we were left with 155,799,857 reads that mapped to 20,388 genes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com