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The IdentifyPrimaryObjects module in the APR image analysis pipeline was adjusted to read foreground/background to match manual reading.
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It can be adjusted to read other data sets.
The counts can then be adjusted to reads per million to facilitate comparison between samples.
The raw data is normalized by the count-per-million method, in which all counts in a sample are adjusted to reads per million to facilitate comparison between samples [ 36].
Point #1: The reads per base pair (rpbp) value was adjusted to the total number of reads.
These results show that more reads can be mapped as the reference is adjusted to the reads, indicating that the assembly becomes more similar to the consensus genome of the community.
In our data analysis, the proportions of the relative abundance profiles of the composition of microbial communities exported from the software MetaPhlAn were first adjusted to read counts per million mapped.
Missing emotion expression data could indicate that there was a problem with the image quality (e.g., poor lighting of part of the face) and, thus, the image needs to be adjusted to be successfully read by the software (type MAR).
All pipelines (with the exception of pipeline 1) were adjusted to better fit the larger read size of the exome sequences.
Sequence reads were adjusted to 40 bases to avoid the increased probability of sequencing errors in longer reads.
Mapping parameters were adjusted to map a maximum number of reads to the reference bacterial genomes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com