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Since AS isoforms are expected from the same allele, and allelic gene structure variations are from different alleles, we used the EST associated SNPs to distinguish the allelic gene structure variations from AS.
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We conclude with a recommendation for ongoing research to verify these types of trends using concurrently acquired, independently derived leaf LUE from photosynthesis light-response curves, and forest structure variation from LiDAR, to provide a more exact quantification of these patterns.
The present study used expressed sequence tags (ESTs) and EST tagged SNP patterns to examine the transcript structure variations resulting from allelic gene structure variations in the major human malaria vector, Anopheles gambiae.
About 28% of transcript structure variations were predicted from different gene alleles.
Transcript structure variation comes from allelic variations and AS.
Most of the structure variation originates from the position of helix H3 and the proceeding H3 H4 loop and correspondingly the RMSD values drop to 0.3 0.6 Å when omitting residues 50 65 (H3).
This result is consistent with the observation that ∼28% of TSVs are from allelic gene structure variations in A. gambiae while only 6% of TSVs are from allelic gene structure variations in humans [7].
TSVs result from allelic gene structure variations and post-transcriptional alternative splicing (AS).
Therefore, it is both theoretically and practically important that we are able to separate the AS events from allelic gene structure variations in TSVs.
On the other hand, for IntronR, the most abundant type in invertebrates and plants and the least abundant type in vertebrates, >30% were from allelic gene structure variations.
Several proteins with significant SVVs identified from the network structure variations during infection are involved in the immune response, such as Tlr2 and B2m (Table 2).
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