title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ Ð±Ð¸ÑÑÐ»ÑÑÐ¸ÑÐ½Ð¾Ð³Ð¾ ÑÐµÐºÐ²ÐµÐ½Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð² Ð½ÐµÐ¼Ð¾Ð´ÐµÐ»ÑÐ½ÑÑ Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð¼Ð°Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Software development for the examination of bisulfite sequencing data in non-model organisms
Creators: name: Ð®Ð´ÑÑÐºÐ¸Ð¹, ÐÐ¾Ð½ÑÑÐ°Ð½ÑÐ¸Ð½
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ¿Ð¸Ð³ÐµÐ½Ð¾Ð¼Ð¸ÐºÐ°
Ð¼ÐµÑÐ¸Ð»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÐÐÐ
Ð±Ð¸ÑÑÐ»ÑÑÐ¸ÑÐ½Ð¾Ðµ ÑÐµÐºÐ²ÐµÐ½Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÑÐ°Ð·Ð²ÐµÐ´Ð¾ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð¼ÐµÑÐ¸Ð»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐµÐ»Ð° Ð³ÐµÐ½Ð°
ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ
Ð½ÐµÐ¼Ð¾Ð´ÐµÐ»ÑÐ½ÑÐµ Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð¼Ñ
Ð¿Ð»Ð¾ÑÐ½Ð¾ÑÑÑ Ð¼ÐµÑÐ¸Ð»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ
epigenomics
DNA methylation
bisulfite sequencing
exploratory analysis
gene body methylation
clustering
non-model organisms
methylation density

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description: DNA methylation is a widespread epigenetic modification in eukaryotes involved in biological processes such as genome stability maintenance, gene expression regulation, and cell differentiation, to name a few. Bisulfite sequencing is a powerful tool for analyzing and quantifying DNA methylation patterns. While numerous software solutions for DNA methylation profiling have emerged, only a few are suitable for exploratory data analysis in non-model organisms. This limitation significantly hinders research efforts in zoology, plant biology, and agriculture.Â  Here we present BSXplorer, a software package meticulously crafted through leveraging modern object-oriented programming. This tool is specifically engineered for conducting exploratory analysis, visualization, and interpretation of bisulfite sequencing data obtained across both model and non-model organisms. Moreover, BSXplorer facilitates the evaluation and classification of genes based on their methylation status, employing a probabilistic approach. Its versatility and array of analytic features make it a valuable asset for research in non-model organisms, with applicability spanning across agricultural sciences, plant and crop biology, zoology and evolutionary biology.