BOSTON--(BUSINESS WIRE)--BioBam, a leading provider of bioinformatics solutions, is pleased to announce the launch of OmicsBox 3.2 at the BIO-IT World Expo in Boston. This release showcases BioBam's latest advancements in computational biology and bioinformatics, with a special focus on Single Cell and Long-Read data analysis..

波士顿--（商业新闻短讯）--生物信息学解决方案的领先提供商BioBam很高兴在波士顿生物信息技术世界博览会上宣布推出OmicsBox 3.2。本版本展示了BioBam在计算生物学和生物信息学方面的最新进展，特别关注单细胞和长读取数据分析。。

OmicsBox 3.2 features a comprehensive suite of tools for the functional analysis and visualization of state-of-the-art transcriptomics data analysis scenarios. These customizable options enable researchers to effectively interpret data, fostering insights and discoveries within complex genomics datasets..

OmicsBox 3.2提供了一套全面的工具，用于对最先进的转录组学数据分析场景进行功能分析和可视化。这些可定制的选项使研究人员能够有效地解释数据，促进复杂基因组学数据集中的见解和发现。。

Dr. Stefan Götz, CEO, stated, 'I am particularly happy to announce that with our latest release, our team managed to create a straightforward yet sophisticated solution for the challenging domain of Single Cell Transcriptomics. This marks a significant enhancement to the suite of complex analysis scenarios OmicsBox simplifies, including also Long-Read Transcriptomics, a field still in the process of defining its analysis protocols and with OmicsBox already offering a broad array of options.'.

首席执行官Stefan Götz博士表示，“我特别高兴地宣布，通过我们的最新版本，我们的团队成功地为具有挑战性的单细胞转录组学领域创建了一个简单而复杂的解决方案。这标志着对一套复杂分析场景的显着增强，OmicsBox简化，还包括长读转录组学，该领域仍在定义其分析协议的过程中，并且OmicsBox已经提供了广泛的选项。”。

Key highlights of this release include enhanced visualization and cell-type annotation features for Single Cell Transcriptomics data analysis. Single Cell data analysis, inherently exploratory, benefits greatly from the new annotation and visualization options, enabling the integration of various tools and datasets to unravel tissue complexities using approaches like trajectory analysis and differential expression analysis of cell groups..

此版本的关键亮点包括用于单细胞转录组学数据分析的增强可视化和细胞类型注释功能。单细胞数据分析本质上是探索性的，它从新的注释和可视化选项中受益匪浅，从而能够集成各种工具和数据集，使用轨迹分析和细胞组差异表达分析等方法揭示组织的复杂性。。

As the Long-Read data analysis landscape continues to evolve, OmicsBox now introduces support for working with non-model species and generating high-quality annotations based on long reads, all within a unified platform. This includes reference-free isoform reconstruction and various transcript quantification tools..

随着长读数据分析领域的不断发展，OmicsBox现在引入了对使用非模型物种和基于长读产生高质量注释的支持，所有这些都在一个统一的平台内。这包括无参考的同工型重建和各种转录本定量工具。。

The Genetic Variation Module has also seen several significant updates, including the capability to perform population structure analysis and additional tools for VCF data manipulation, filtering, phasing, and imputation. These enhancements culminate in a comprehensive toolkit for end-to-end genetic variation analysis..

遗传变异模块也有一些重大更新，包括执行种群结构分析的能力以及用于VCF数据操作，过滤，定相和插补的其他工具。这些改进最终形成了一个用于端到端遗传变异分析的综合工具包。。

About OmicsBox:

关于OmicsBox：

OmicsBox is an end-to-end bioinformatics solution for data analysis of genomes, transcriptomes, metagenomes, and genetic variation studies. The application is used by top private and public research institutions worldwide and allows researchers to easily process large and complex data sets, and streamline their analysis process.

OmicsBox是一种端到端的生物信息学解决方案，用于基因组，转录组，宏基因组和遗传变异研究的数据分析。该应用程序被全球顶级私人和公共研究机构使用，使研究人员能够轻松处理大型复杂数据集，并简化分析过程。

It is designed to be user-friendly, efficient, and with a powerful set of tools to extract biological insights from omics data..

它被设计为用户友好，高效，并具有一套强大的工具来从组学数据中提取生物学见解。。

The software is structured in different modules, each with a specific set of tools and functions designed to perform different types of analysis, such as de-novo genome assemblies, genetic variation analysis, differential expression analysis, and taxonomic classifications of microbiome data, including the functional interpretation as well as rich visualizations of results..

该软件分为不同的模块，每个模块都有一组特定的工具和功能，用于执行不同类型的分析，例如从头基因组组装，遗传变异分析，差异表达分析和微生物组数据的分类学分类，包括功能解释以及结果的丰富可视化。。

The functional analysis module, which includes the popular Blast2GO annotation methodology, makes OmicsBox particularly suited for non-model organism research. Over 25k scientific research citations demonstrate this. OmicsBox works out of the box on any standard PC or laptop with Windows, Linux, or Mac.

功能分析模块包括流行的Blast2GO注释方法，使OmicsBox特别适合非模式生物研究。超过2.5万篇科学研究引文证明了这一点。OmicsBox在任何标准PC或笔记本电脑上都可以使用，包括Windows、Linux或Mac。

You can also explore its features with a free trial, making it even more accessible for students and researchers..

您还可以通过免费试用探索其功能，使学生和研究人员更容易访问。。

About BioBam:

关于BioBam：

BioBam is a bioinformatics company that provides innovative software solutions to accelerate genomics research. The company is dedicated to developing user-friendly and powerful bioinformatics tools that simplify data analysis for researchers, empowering them to focus on data interpretation and explore new insights.

BioBam是一家生物信息学公司，提供创新的软件解决方案来加速基因组学研究。该公司致力于开发用户友好且功能强大的生物信息学工具，以简化研究人员的数据分析，使他们能够专注于数据解释并探索新的见解。

BioBam aims to close the technology gap between state-of-the-art bioinformatics and applied genomics research, by transforming complex data analysis into intuitive and interactive tasks that facilitate scientific advancement..

BioBam旨在通过将复杂的数据分析转化为促进科学进步的直观和交互式任务，缩小最先进的生物信息学与应用基因组学研究之间的技术差距。。

Follow BioBam on LinkedIn, Twitter, Facebook, and YouTube.

在LinkedIn、Twitter、Facebook和YouTube上关注BioBam。