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These gaps include inadequate sequencing of viral genes beyond env, lack of HAND viral data from HIV epidemiologically important regions including Asian and Sub-Saharan African countries, and biased sampling toward the male gender, all factors that impede efforts toward providing an improved quality of life to HIV-infected individuals, and toward elimination of viruses in the brain.
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We observed that such inadequate sequences of state transitions can cause a significant failure of the budding yeast cell cycle by violating the M phase checkpoint conditions.
The notable discrepancy of variant calling between SureSelect-HiSeq and TargetSeq-Proton sequencing platforms can be explained in part by different capturing efficiency of exome enrichment kits and the inadequate sequencing depth of platform-specific loci.
Furthermore, checking sequencing depth can help to eliminate the possibility of separate contigs being generated due to inadequate sequencing coverage.
Many of these missed variants are likely due to inadequate sequencing depth in our data.
According to recommendations outlined in the Cochrane Handbook, we used the following criteria for assessing the risk of bias in randomized studies: Inadequate sequence generation; Inadequate allocation concealment; Lack of blinding of participants, providers, data collectors, outcome adjudicators, and data analysts Incompleteness of outcome data; Selective outcome reporting, and other bias.
According to recommendations outlined in the Cochrane Handbook, we used the following criteria for assessing the risk of bias in randomised studies: Inadequate sequence generation Inadequate allocation concealment Lack of blinding of participants, providers, data collectors, outcome adjudicators and data analysts Incompleteness of outcome data Selective outcome reporting, and other bias.
Reanalysis of these sequences showed that 315 isolates (19%) were unidentified because of inadequate sequence quality; they were excluded from this study.
We excluded studies with evidence of inadequate sequence generation (such as small patients number) as they are associated with a high risk of bias.
Disulfide-rich proteins constitute one of such groups: since the reduction of thiol thiol bonds must be carried out under suboptimal conditions (to minimize the back-exchange), it frequently results in incomplete dissociation of disulfide bridges prior to MS analysis, leading to a loss of signal, inadequate sequence coverage, and a dramatic increase in the difficulty of data analysis.
Inadequate sequence generation Inadequate allocation concealment Lack of blinding of participants, providers, data collectors, outcome adjudicators and data analysts Incompleteness of outcome data Selective outcome reporting, and other bias.
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