# BioSuiteT: A Unified Tool for Biological Sequence Analysis
## 1 Background
* Resource allocation: Some tools often take precedence over improving or supporting existing ones, leading to a fragmented ecosystem where resources are spread thin [22; 23]. * Platform-specific tools: Tools are designed to work optimally with specific data types or experimental setups, which can limit their general applicability and require users to adapt their workflows accordingly [22]. * User-friendliness and accessibility: Many bioinformatics tools are not user-friendly, hindering their effective use [24], and most software tools lack a Graphical User Interface (GUI), making them difficult to use. According to the survey by [PERSON] [22], around 52% of responses explicitly or implicitly mentioned that there are too many tools and emphasized the challenges this creates, especially for users without programming knowledge (this perception is shown in Figure 1). Moreover, the survey revealed the following key findings, which can be seen in Figure 2:  
1. Challenges in selecting tools: 1. Over 30 responses (62.5%) highlighted difficulties in choosing the right tool due to redundancy, poor documentation, or lack of clarity about functionalities. 2. Installation and usability issues: 1. Around 12 responses (25%) directly pointed out problems with installing or using tools, citing a lack of standardization and technical complexity. 3. Barriers for non-programmers: 1. At least 10 responses (20.8%) explicitly noted that users with limited programming expertise face significant barriers when using bioinformatics tools. 4. Recommendations for improvement: 1. Unified platform: Around 10 responses (20.8%) advocate integrating tools into a common platform to simplify access and usability. 2. User reviews: Five responses (10.4%) emphasized the need for platforms allowing users to review and rate tools, helping non-experts choose tools that align with their goals. 3. Open-source frameworks: Seven responses (14.6%) suggested using open-source frameworks as the foundation for building elements for tool integration. 5. Time investment:  
Figure 1: Bioinformatics tools perception. Moreover, the aforementioned survey identifies that bioinformatics tool perception is characterized by a wide variety of tools and a high level of complexity in performing biological analysis, as well as its usage [25]. In this context, this research presents BioSuiteT v1.0, a web application developed with the objective of addressing the identified challenges of existing bioinformatics tools by unifying various bioinformatics data analysis tools with an integrated GUI; BioSuiteT includes visualization, sequence analysis, and regular expression searching, among other functionalities, within a single application, without the need for coding proficiency, specialized software knowledge, or using a wide variety of tools. BioSuiteT leverages trusted data sources and tools to ensure the reliability of the information it processes by using Django. By providing a user-friendly Graphical User Interface (GUI), BioSuiteT eliminates the need for users to install additional components, download extra files, or possess advanced programming skills to utilize the tool effectively. BioSuiteT can be deployed on a server or a personal computer, offering flexibility in its usage according to user preferences. Notably, BioSuiteT provides an intuitive GUI that simplifies complex bioinformatics tasks and enhances accessibility for researchers who may not have a computational background.