TCM2COVID documents over 280 traditional Chinese medicine formulas (including over 300 herbs) with detailed clinical evidence and therapeutic mechanism information; TCM2COVID records over 80 natural products with detailed potential therapeutic mechanisms; TCM2COVID launches a useful web server for querying, analyzing, and visualizing documented formulas similar to those supplied by the user (formula similarity analysis).
Strain-level Pangenome Decomposition Analysis (StrainPanDA) uses the pangenome coverage profile of multiple metagenomic samples to simultaneously reconstruct the composition and gene content variation of coexisting strains in microbial communities. StrainPanDA allows accurate and robust inference of strain composition and gene content profiles on synthetic data sets. Linked reconstruction of strain composition and gene content profiles provided by StrainPanDA furthers our understanding of the relationship between microbial adaptation and strain-specific functions (e.g., nutrient utilization and pathogenicity).
This study identified a total of 28 genetic loci (comprising 31 genes), which were found to be altered in oral cancer patients having a habit of tobacco smoking. Three loci, that is, 17p13.1 (TP53), 9p21.3 (CDKN2A), and 9q34.3 (NOTCH1) were found to be modified and common in three records whereas one locus, that is, 3q26.32 (PIK3CA) was found to be modified and common in two records. This study suggests that oral cancer patients should be categorized into different subgroups based on (i) genetic signatures, and (ii) smoking status, then the treatment strategies for each group should be precisely defined.
Complex heatmap is a powerful visualization method for revealing associations between multiple sources of information. We have developed an R package named ComplexHeatmap that provides comprehensive functionalities for heatmap visualization. It has been widely used in the bioinformatics community. We give a comprehensive introduction to the current state of ComplexHeatmap in this article.
Sangerbox with a user-friendly interface supports differential analysis, correlation analyses, pathway enrichment analysis, weighted correlation network analysis, and so on. A new interactive plotting system that allows users to adjust the parameters in the image. It has organized GEO, TCGA, ICGC, and other databases; a rapid batch processing reduces the difficulty in data acquirement, greatly improving the efficiency.
We raise concerns regarding the biological validity of predicting functional potential from microbiome taxonomic profiles generated by short-read amplicon sequencing. We reason that predicted functional potential profiles can be improved by employing long-read sequencing technologies, which in combination with independent measurements of actual functions can constitute a powerful approach to understanding microbiome functioning.
Sputum, bronchoalveolar lavage, bronchial brushing, and lung tissue are the routine sample types for the lung microbiome. Multiomics have been increasingly applied for characterizing the lung microbiome. Lung microbiome is broadly implicated in chronic and acute lung diseases, lung cancer, and other lung diseases, with potential mechanistic implications. Current challenges of the lung microbiome studies include low microbial-to-host ratio, high disease heterogeneity, and the difficulty in precisely manipulating and culturing the lung microbiome. Future potential topics for lung microbiome studies include understanding the diagnostic potential of the lung microbiome, its spatial dynamics, its mechanistic interaction with the host, and the crosstalk between the lung and distal organs.