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Methods: We predicted the likelihood of an index CHF admission being followed by a subsequent admission for any cause within 30 days of discharge, using data available at two time points within the index admission: 1) the first 24 hours ("early"), and 2) at the time of discharge ("discharge").
Using genomic sequences (see Methods) we predicted 111 cases of alternative splicing, including conserved ones such as Clathrin light chain (contig7735 and contig8467, See Additional file 5).
By using the phylogenetic footprinting techniques (see Methods), we predicted a total of eight putative CRP binding sites from the 10 upstream inter-TU regions, suggesting that the CRP binding sites are largely shared by these orthologous genes.
By connecting these putative CREs (Methods), we predicted a total of 115,932 non-overlapping CRMs, 71,817 (61.9%) of which are entirely located in NCRs, and the remaining 44115 (38.1%) contain CDRs.
Using published pipelines for variant discovery with GATK [ 22, 27] (see Methods) we predicted 237,334 high confidence single nucleotide polymorphisms (SNPs) present in at least one of the 96 pigs, present at 236,530 unique loci.
Using an in silico pipeline (Methods) we predicted 552 secreted proteins, of which 133 (24%) code for various hydrolases such as proteases, lipases or nucleases (Additional file 1: Table S14) Among the pezizomycotina species considered, P. digitatum has the second smallest predicted proteome after Uncinocarpus reesii (Additional file 1: Table S5).
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Using statistical methods, we predict the epidemic incidence given that a detection of the pathogen has occurred for the first time, considering that the epidemic has an asymptomatic period between infection and symptom development.
When applying the linear correlation obtained from simulations to the interactions detected by MDR and its extended methods, we predict that the corresponding heritability for most detected gene-gene interactions is between 0.01 and 0.05.
Applying both de novo and comparative genome annotation methods, we predict a total of 8639 gene models.
By this method, we predicted a number of miRNA families which were likely to be functional in each iPS cell line (see Table S4 for the full list).
Using the predicted SNP effects from each method, we predicted GEBV in the validation sets as.
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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