Your English writing platform
Discover LudwigExact(11)
The chromosomal coverage was determined by splitting each chromosome in equally sized regions (bins) and counting the reads that mapped equally to each bin.
For alignments to the IAdb, Novoalign (http://www.novocraft.com/) was used (version 2.05.20 [-o SAM -r A -R 0, default options] (http://www.novocraft.com/) which reports all locations and genomes mapped equally well by a given read pair.
Multireads that mapped equally well to more than 20 genomic locations were discarded.
Moreover, reads that mapped equally well to more than 40 genomic locations were discarded.
If a read mapped equally well to multiple locations (therefore producing a mapping score of zero), MAQ randomly returned one of the locations.
Reads that mapped equally well to the positions of two or more mature miRNAs were divided equally to the read counts of those mature miRNAs.
Similar(49)
Such tags cannot be excluded on the simple basis that they map equally to multiple places, since the mature microRNA itself can be transcribed from multiple genomic loci; cross-mapping issues may also appear when tags are aligned directly to microRNA precursors instead of the whole reference genome [ 22 ].
Since AT and A2 are ~2× closer in sequence similarity than DT and D5, the AT-genome reads of the polyploid are more likely to map as equally well (or equally poor) as the A-genome diploid than the D-genome sequences, particularly when an EST assembly of AT and DT is used a reference.
Finally, reads from the diploid Fe'i banana cultivar (Musa, Australimusa, 2n = 20), and a species which is probably most closely related to the wild species M. maclayi, M. peekelii and M. lolodensis[ 78], mapped nearly equally to both genomes (48.6 : 51.4, A B). Interestingly, the normalized read coverage across the all chromosomes of both genomes was also found to differ between the cultivars.
One drawback of using uniquely-mapped RNA-seq reads for expression analysis is that any read which maps equally well to identical regions in different genes is discarded, potentially resulting in an underestimation of the expression levels of highly similar genes [ 21].
Reads mapping equally well to two positions were assigned randomly.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com