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How to use omicX protocols like a pro

We previously discussed all the cool things you can do with the omicX search engine. Here, we’ll uncover our latest and most exciting feature, omicX protocols, so you can analyze your big biodata like a pro. What it a computational protocol   We know that the number of publications in biology is skyrocketing, and it’s becoming more and more difficult for scientists to identify the latest trends, analysis methods and tools in their field.   Searching through publications to benchmark or identify the best combination of tools for your analysis can take hours. For this reason, we developed a new feature that automatically extracts and recreates protocols (logical series of bioinformatics tools designed to perform an analysis task) from free …

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How to use omicX search engine like a pro

In the past few months, we’ve brought amazing new features on omicX, getting closer to our dream of democratizing bioinformatics to scientists.   To ensure you did not miss anything and make your experience 100% efficient, we are launching a new series of tutorials that cover the full functionality of omicX. Scientist spend a lot of time searching for the right bioinformatics tools. There are so many tools, but also so many languages to write (or use) them that finding the good one is a difficult task. Along with the most comprehensive catalog of bioinformatics resources, we have developed a powerful and intelligent search engine for retrieving what you need in one-click.   Let’s review all the things you can …

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A bioinformatics tools overview

The field of bioinformatics is constantly evolving at a rapid pace. Grasping its latest developments and trends can be challenging for tool developers that wish to create accurate and up-to-date solutions that match life scientists’ needs.   Be aware of the current status of the field can be of importance for a variety of reason. For example, knowing the most popular programming language in bioinformatics can give you an advantage when applying for a position, and identifying the top tool-funding agencies can help you get the grant you need to develop your tool. For this, we created a dashboard of interactive figures to provide an overview of the field of bioinformatics tool development, accompanied with a series of blogposts to …

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DataOnTools #6: omicX features

With more than 29,000 entities, omicX is the largest collection of bioinformatics tools. Our classification system allows to easily find and identify the tools you need. We conclude our series by providing some data analysis on the omicX collection. Tool categorization system   Software tools and database are classified in one main category among transcriptomics, genomics, phenomics, metabolomics, proteomics and epigenomics. Then, they are labelled in one or more of the 2,000 subcategories. To explore the categories, check our interactive figure (Figure 1, available online).     Obsolescence in bioinformatics tools   Tools are developed continuously, and usually hosted on institution servers and corporate websites. Eventually, their URLs will not be maintained and the tool will become inaccessible, obsolete.   omicX scans tools …

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Introducing our new bioinformatics protocols

As a biologist, you probably know that the key to good data analysis is the selection and use of appropriate software. Owing to the increasing complexity of biological data, the number of tools typically required to perform an analysis is constantly growing, rendering the selection of software even more difficult. Indeed, finding the best series of tools that match your analysis criteria is challenging.   A protocol is a series of software presented in a logical order. With your data as a starting point, a protocol shows you the right pathway of tools to perform your analysis.   Until now, finding the optimal workflow was very challenging because bioinformatics analyses are difficult to decipher or remain buried in the masses of biomedical texts. To face this big …

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DataOnTools #4: Evolution of tool specifications

When it comes to developing a bioinformatics software tool, many different languages can be used. Moreover, developers might have to choose on which operating systems among the most used they want their creation to be run. Finally, the target audience of the software (personal use, free distribution or commercial distribution) may influence the usage of the software (web interface, desktop, etc.).   Users can run bioinformatics software tools either on the web, locally on a desktop or server, or both. While tools that can be used on the web could be expected to be more common, reflecting the need for user-friendliness for less-skilled users, we in fact found that more than 69% of the 20,918 tools registered as software are …

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DataOnTools #1: A comprehensive data analysis of bioinformatics tools

Ever wondered how many tools are released each year? What country or institute produce the most tool? Or what are the most used programming languages? To answer these burning questions, and a lot more, we are launching a new series of articles, DataOnTools, providing a wide range of data on bioinformatics tools evolution and current status. Most of these data representation will be freely accessible and reusable.   DataOnTools, everything you always wanted to know about bioinformatics tools   Just like the data they are built to analyze, bioinformatics tools are growing at an exponential pace. The origin of bioinformatics tools is well documented and can be traced back to the late 60s. However, documenting the evolution of tools in …

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How to identify the right tools for biological data analysis

In the biology big data context, managing the amount and diversity of data that experiments produce is a challenging task. Depending on the scope of your research, you probably spend a lot of your time searching for the right bioinformatics tools.   Like most, you probably have a general idea of how to analyze your data and have used more than one tool. If you’re working in a computational biology laboratory, you’ve probably heard the question “What is the best software for genome sequence alignment?” or “What algorithm is the standard for sequence alignment in genetics?” While BLAST is probably the most popular tool for this, there are lots of other tools for mining, and aligning biological data.  So choosing the right solution for …

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