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pmid: 36833195
pmc: PMC9957322
arXiv: 2202.07473
handle: 10230/57247 , 2117/385252 , 10261/338068 , 20.500.12530/113242 , 10550/85702 , 20.500.12530/90547
pmid: 36833195
pmc: PMC9957322
arXiv: 2202.07473
handle: 10230/57247 , 2117/385252 , 10261/338068 , 20.500.12530/113242 , 10550/85702 , 20.500.12530/90547
The GPRO suite is an in-progress bioinformatic project for -omics data analysis. As part of the continued growth of this project, we introduce a client- and server-side solution for comparative transcriptomics and analysis of variants. The client-side consists of two Java applications called “RNASeq” and “VariantSeq” to manage pipelines and workflows based on the most common command line interface tools for RNA-seq and Variant-seq analysis, respectively. As such, “RNASeq” and “VariantSeq” are coupled with a Linux server infrastructure (named GPRO Server-Side) that hosts all dependencies of each application (scripts, databases, and command line interface software). Implementation of the Server-Side requires a Linux operating system, PHP, SQL, Python, bash scripting, and third-party software. The GPRO Server-Side can be installed, via a Docker container, in the user’s PC under any operating system or on remote servers, as a cloud solution. “RNASeq” and “VariantSeq” are both available as desktop (RCP compilation) and web (RAP compilation) applications. Each application has two execution modes: a step-by-step mode enables each step of the workflow to be executed independently, and a pipeline mode allows all steps to be run sequentially. “RNASeq” and “VariantSeq” also feature an experimental, online support system called GENIE that consists of a virtual (chatbot) assistant and a pipeline jobs panel coupled with an expert system. The chatbot can troubleshoot issues with the usage of each tool, the pipeline jobs panel provides information about the status of each computational job executed in the GPRO Server-Side, while the expert system provides the user with a potential recommendation to identify or fix failed analyses. Our solution is a ready-to-use topic specific platform that combines the user-friendliness, robustness, and security of desktop software, with the efficiency of cloud/web applications to manage pipelines and workflows based on command line interface software.
Artificial intelligence, Databases, Factual, server-side, RNA sequence, RNASeq, Article, Workflows, Workflow, User-Computer Interface, Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica, VariantSeq, 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades, Humans, Interface environments, Quantitative Biology - Genomics, pipelines, resequencing, Pipelines, Genomics (q-bio.GN), Computational Biology, artificial intelligence, Graphical user interfaces (Computer systems), interface environments, FOS: Biological sciences, workflows, Linux device drivers, genomes, LENGUAJES Y SISTEMAS INFORMATICOS, Software, Server-side, Resequencing
Artificial intelligence, Databases, Factual, server-side, RNA sequence, RNASeq, Article, Workflows, Workflow, User-Computer Interface, Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica, VariantSeq, 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades, Humans, Interface environments, Quantitative Biology - Genomics, pipelines, resequencing, Pipelines, Genomics (q-bio.GN), Computational Biology, artificial intelligence, Graphical user interfaces (Computer systems), interface environments, FOS: Biological sciences, workflows, Linux device drivers, genomes, LENGUAJES Y SISTEMAS INFORMATICOS, Software, Server-side, Resequencing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 106 | |
| downloads | 164 |

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