1. Tools4miRs – one place to gather all the tools for miRNA analysis
- Author
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Piotr Zielenkiewicz, Maciej Wójcikowski, and Anna Lukasik
- Subjects
0301 basic medicine ,Statistics and Probability ,Models, Molecular ,Computer science ,Databases and Ontologies ,Sequence alignment ,Biochemistry ,Filter (software) ,World Wide Web ,03 medical and health sciences ,0302 clinical medicine ,Software ,microRNA ,Gene expression ,Molecular Biology ,computer.programming_language ,business.industry ,Computational Biology ,Research needs ,Python (programming language) ,Applications Notes ,Computer Science Applications ,Computational Mathematics ,MicroRNAs ,030104 developmental biology ,Computational Theory and Mathematics ,Categorization ,business ,computer ,Sequence Alignment ,030217 neurology & neurosurgery - Abstract
Summary: MiRNAs are short, non-coding molecules that negatively regulate gene expression and thereby play several important roles in living organisms. Dozens of computational methods for miRNA-related research have been developed, which greatly differ in various aspects. The substantial availability of difficult-to-compare approaches makes it challenging for the user to select a proper tool and prompts the need for a solution that will collect and categorize all the methods. Here, we present tools4miRs, the first platform that gathers currently more than 160 methods for broadly defined miRNA analysis. The collected tools are classified into several general and more detailed categories in which the users can additionally filter the available methods according to their specific research needs, capabilities and preferences. Tools4miRs is also a web-based target prediction meta-server that incorporates user-designated target prediction methods into the analysis of user-provided data. Availability and Implementation : Tools4miRs is implemented in Python using Django and is freely available at tools4mirs.org. Contact : piotr@ibb.waw.pl Supplementary information: Supplementary data are available at Bioinformatics online.
- Published
- 2016