The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024

The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024

2024 | Fábio Madeira, Nandana Madhusoodanan, Joonheung Lee, Alberto Eusebi, Ania Niewielska, Adrian R.N. Tivey, Rodrigo Lopez and Sarah Butcher
The EMBL-EBI Job Dispatcher sequence analysis tools framework (https://www.ebi.ac.uk/jobdispatcher) offers a wide range of bioinformatics applications and datasets for sequence analysis, accessible through user-friendly web interfaces and APIs. This paper highlights recent improvements to the framework, including a new website, enhanced visualizations, improved job management, and increased user reliance from low- and middle-income regions. The new website features a modern frontend, improved navigation, and interactive visualizations for sequence alignment and similarity search results. The framework also provides detailed tool descriptions, improved input validation, and enhanced job management capabilities. In 2023, over 109 million jobs were performed, with a significant increase in usage from low- and middle-income countries. The authors discuss the challenges posed by rising computational demands and economic pressures, emphasizing the ongoing development and commitment to user support and training.The EMBL-EBI Job Dispatcher sequence analysis tools framework (https://www.ebi.ac.uk/jobdispatcher) offers a wide range of bioinformatics applications and datasets for sequence analysis, accessible through user-friendly web interfaces and APIs. This paper highlights recent improvements to the framework, including a new website, enhanced visualizations, improved job management, and increased user reliance from low- and middle-income regions. The new website features a modern frontend, improved navigation, and interactive visualizations for sequence alignment and similarity search results. The framework also provides detailed tool descriptions, improved input validation, and enhanced job management capabilities. In 2023, over 109 million jobs were performed, with a significant increase in usage from low- and middle-income countries. The authors discuss the challenges posed by rising computational demands and economic pressures, emphasizing the ongoing development and commitment to user support and training.
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