Microbes commonly organize into communities consisting of hundreds species involved in complex interactions with each other. 16S ribosomal RNA (16S rRNA) amplicon profiling provides snapshots that reveal the phylogenies and abundance profiles these microbial communities. These snapshots, when collected from multiple samples, can co-occurrence microbes, providing a glimpse network associations However, inference networks data involves numerous steps, requiring specific tools parameter...

Despite an ever-growing number of data sets that catalog and characterize interactions between microbes in different environments conditions, many these are neither easily accessible nor intercompatible. These limitations present a major challenge to microbiome research by hindering the streamlined drawing inferences across studies. Here, we propose guiding principles make microbial interaction more findable, accessible, interoperable, reusable (FAIR). We outline specific use cases for span...

The advent of high-throughput sequencing technologies has led to the need for flexible and user-friendly data preprocessing platforms. Pipeliner framework provides an out-of-the-box solution processing various types data. It combines Nextflow scripting language Anaconda package manager generate modular computational workflows. We have used create several pipelines including bulk RNA-sequencing (RNA-seq), single-cell RNA-seq, as well digital gene expression This report highlights design...

Abstract Microbes tend to organize into communities consisting of hundreds species involved in complex interactions with each other. 16S ribosomal RNA (16S rRNA) amplicon profiling provides snapshots that reveal the phylogenies and abundance profiles these microbial communities. These snapshots, when collected from multiple samples, have potential which microbes co-occur, providing a glimpse network associations The inference networks data is prone statistical artifacts. There are many tools...

Abstract Naturally occurring microbial communities often comprise thousands of taxa involved in complex networks interactions. These interactions can be mediated by several mechanisms, including the competition for resources, exchange signals and nutrients, cell-cell contact antibiotic warfare. In addition to direct measurements computational predictions interactions, abundant data on co-occurrence associations inferred from correlations across samples, which estimated metagenomic, amplicon...

Abstract The advent of high-throughput sequencing technologies has led to the need for flexible and user-friendly data pre-processing platforms. Pipeliner framework provides an out-of-the-box solution processing various types data. It combines Nextflow scripting language Anaconda package manager generate modular computational workflows. We have used create several pipelines including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), as well Digital Gene Expression (DGE) This report highlights...

The term periodontal diseases describes inflammation of the tissues that offer support to teeth.It has been recognized though bacteria present in plaque initiates inflammation, host response these pathogens equally matters progression disease.The immune cells participate jointly through release their molecules and mechanisms action order maintain homeostasis tissues, so host's plays an essential role defense against microorganisms.Therefore, severity this disease is due a variety factors,...

A benign fibrous growth called a peripheral osseous fibroma (POF) frequently develops in the mouth's gingival tissues.Despite fact that POF is not malignant, its rapid growth, potential for discomfort, and impact on oral health can be concerning.In this case report, we provide 50-year-old female patient's of area maxillary anterior tooth, along with clinical histopathological examination results, as well information current future treatments.The term "peripheral ossifying fibroma" refers to...

ABSTRACT The use of genomic sequencing has greatly improved our ability to profile the microbial communities associated with environment and host. Among most common applications metagenomics is assessing microbiome biodiversity. Holcomb Creosote Superfund Site Soil located in North Carolina area, 16s metagenomic Sequencing was carried out from soil Site. To describe taxonomic diversity functional profiles this environment, DNA sequence extracted a library generated by Sequencing....

Abstract Biological systems are intrinsically noisy and this noise may determine the qualitative outcome of system. In absence analytical solutions to mathematical models incorporating noise, stochastic simulation algorithms useful explore possible trajectories these systems. Algorithms used for such simulations include Gillespie algorithm its approximations. study we introduce cayenne, an easy use Python package containing accurate fast implementations (direct method), tau-leaping a...