Exact(1)
Although the majority of annotated orthologs were identified from these closely related microalgae species, very poor mappings (i.e. <5% of reads) were observed between the RNA-Seq data of N. oleoabundans and the genomes of C. reinhardtii and Volvox carteri.
Similar(58)
MSN Virtual Earth is an excellent mapping/satellite imagery application.
Preliminary testing with different k-mers found that higher k-mers assembled shorter contigs but produced better read-mapping while lower k-mers assembled longer contigs but resulted in poorer read-mapping.
As can be seen in Table 2, such modified dataset gives almost the same classification results for both sets of features including histone marks indicating that the results were not biased by potentially poorer read-mapping efficiency in repeat regions.
Existing efforts to curate and publish datasets take a top-down approach and are focused on large collections, produce scarce metadata, require expertise for effective integration, provide poor user support while producing mappings, and present issues at data access.
The pitch ranking results with the AMO showed that Std mapping was significantly poorer than either of the Smt mappings for the tone pair D-D# (1-semitone interval) in all three octave ranges.
At this resolution, ambiguous mappings of the short reads were an issue, resulting in poor separation.
Table S2 in Additional file 2 and Figure 3 depict the accuracy using different mapping parameters with respect to allowed mismatches (bowtie options -v0, -v1 and -v2) and reported alignments (bowtie options -m1 -a) for class I. Allowing only unique mappings (-m1) resulted in very poor accuracy with only 51% and 38% correct predictions for zero or two mismatches.
Nevertheless, we found that the reliability of the mapping-derived index may be poor among individuals who experience extreme health problems.
However, because of the low density of microsatellite markers, these QTL are generally located with poor accuracy and additional long-term fine-mapping experiments are necessary to refine their positions and determine causative variants (e.g. [ 2, 3]).
Take patients who reported no change in performance status for example, the 95%% limits of agreement for the mapping-derived score were wider and 2 patients (1.4 %) in relatively poor health status had dramatically different baseline and follow-up scores based on the mapping approach.
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