Clinical-Hematological Changes and Predictors of Severity in Acute Food Protein-Induced Enterocolitis Syndrome Reactions at Oral Food Challenge: A Multicenter Observational Study.

Background: Oral food challenge (OFC) is the criterion standard for diagnosis of acute food protein-induced enterocolitis syndrome (FPIES). No diagnostic/prognostic biomarkers are available, and OFC assessment criteria are not validated.

Objective: To assess clinical-hematological changes and predictors of severity of FPIES reactions at OFC.

WFA-GPU: gap-affine pairwise read-alignment using GPUs.

Motivation: Advances in genomics and sequencing technologies demand faster and more scalable analysis methods that can process longer sequences with higher accuracy. However, classical pairwise alignment methods, based on dynamic programming (DP), impose impractical computational requirements to align long and noisy sequences like those produced by PacBio and Nanopore technologies. The recently proposed wavefront alignment (WFA) algorithm paves the way for more efficient alignment tools, improving time and memory complexity over previous methods.

Looking for a cutoff value for the decongestant test in children suffering with turbinate hypertrophy.

Objective: The main causes for objectively confirmed chronic impaired nasal breathing in children are adenoid and turbinate hypertrophy. Turbinate hypertrophy may be addressed by turbinate surgery. However, specialized guidelines include no specific indications for pediatric patients.

Fast gap-affine pairwise alignment using the wavefront algorithm.

Motivation: Pairwise alignment of sequences is a fundamental method in modern molecular biology, implemented within multiple bioinformatics tools and libraries. Current advances in sequencing technologies press for the development of faster pairwise alignment algorithms that can scale with increasing read lengths and production yields.

Results: In this article, we present the wavefront alignment algorithm (WFA), an exact gap-affine algorithm that takes advantage of homologous regions between the sequences to accelerate the alignment process.