Publications by authors named "Marcos Gonzalez-Laffitte"
Two errors in the article Best Match Graphs (Geiß et al. in JMB 78: 2015-2057, 2019) are corrected. One concerns the tacit assumption that digraphs are sink-free, which has to be added as an additional precondition in Lemma 9, Lemma 11, Theorem 4.
View Article and Find Full Text PDFBackground: Many of the commonly used methods for orthology detection start from mutually most similar pairs of genes (reciprocal best hits) as an approximation for evolutionary most closely related pairs of genes (reciprocal best matches). This approximation of best matches by best hits becomes exact for ultrametric dissimilarities, i.e.
View Article and Find Full Text PDFBest match graphs arise naturally as the first processing intermediate in algorithms for orthology detection. Let T be a phylogenetic (gene) tree T and [Formula: see text] an assignment of leaves of T to species. The best match graph [Formula: see text] is a digraph that contains an arc from x to y if the genes x and y reside in different species and y is one of possibly many (evolutionary) closest relatives of x compared to all other genes contained in the species [Formula: see text].
View Article and Find Full Text PDFArticle Synopsis
- - The study investigates how human-induced changes, like water depletion, affect microbial communities in microbial mats from Cuatro Cienegas Basin, Mexico, using a combination of computational methods to analyze ecological dynamics over time.
- - Findings show that these microbial mats boast significant taxonomic diversity, especially among rare biosphere members, and highlight the key roles of anaerobic organisms in sulfur and methane cycles during wet and dry conditions.
- - The research reveals that wet conditions support a balance of cooperation and competition among organisms, while dry conditions shift towards more competitive relationships, suggesting microbial mats have functional redundancy that helps them withstand disturbances.