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This problem can partially be ascribed to sequence or gene prediction differences between the two grape genomes, but it is likely that part of the missing families are not detected due to procedural problems.
Due to the complete gene content conservation, differences in transmission efficiency in A. marginale are likely to be ascribed to sequence variation producing variant proteins or affecting gene transcription.
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However, this may also be ascribed to sequencing or samples used for studies.
The discrepancy between 65 miRNA genes in the mouse cluster as compared to only 1 miRNA gene in the corresponding rat repeat cluster is ascribed to sequence differences between MSHORT1 and RSHORT1 that result in lateral-shifted, less-stable miRNA precursor hairpins for RSHORT1.
The glycolide methylene group region of the proton spectra exhibits several signals which can be ascribed to longer sequences (as compared to those giving rise to 13C resonances) as well as to the sequences which can appear only as a result of the second mode of transesterification.
The accumulation of tRNA precursors can probably be ascribed to transgene sequences that interfere with RNA structures recognized by processing enzymes.
This may be attributable to the polyploid nature of hexaploid triticale having an impact on the accuracy of DArT markers due to alternative binding sites on homeologous chromosomes or may be ascribed to paralogous sequences.
This implies that the repeats are unlikely to fulfil any of the possible important functions that might be ascribed to repeated sequences: for instance, chromosome packaging, aiding with replication or incorporation of horizontally transferred DNA.
However, there are a number of solved structures that could reasonably be ascribed to these sequences, for example, TolA, the stomatin core, band 7 proteins, flotillin, and the colicin membrane spanning protein identified by Phyre.
Overall, from these results we can conclude that the presence of these rare alleles in the reference assembly of the human genome can be ascribed to both sequencing errors and private variants of the anonymous individuals used by the human genome project.
False negatives identified for Compara can primarily be ascribed to the underlying sequence input data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com