openscientist-io
Official@openscientist-io
Offers computational frameworks for hypothesis generation, statistical result interpretation, and large-scale genomic and metabolomic data exploration.
Agent Skills by openscientist-io
Showing 9 vetted skills indexed across 1 GitHub repositories.
openscientist-ioresult-interpretation
Interpret statistical results and generate follow-up actions or hypotheses.
openscientist-ioprioritization
Rank hypotheses by impact, feasibility, and novelty to select the next research action.
openscientist-iostopping-criteria
Evaluate iteration state and budget constraints to decide whether to continue or synthesize.
openscientist-iohypothesis-generation
Generate testable hypotheses from data patterns and literature findings.
openscientist-iometabolomics
Analyze metabolomics datasets with pathway-context reasoning and hypothesis generation.
openscientist-iogenomics
Identify differential gene expression patterns from RNA-seq and transcriptomics data.
openscientist-iodata-science
Analyze scientific datasets with statistical tests and Python code examples.
openscientist-iokbase-query
Query and explore KBase BERDL Datalake databases and tables via MCP REST.
openscientist-iojgi-lakehouse
Query JGI GOLD and IMG genomic metadata via the Dremio Lakehouse using SQL.
Frequently Asked Questions About openscientist-io
FAQPage SchemaWhat specific scientific tasks does openscientist-io enable?▼
Openscientist-io enables the identification of differential gene expression, metabolomics pathway analysis, and the systematic ranking of research hypotheses. It facilitates the interpretation of statistical results and provides structured decision-making for stopping criteria in iterative research cycles.
Which researchers or personas benefit from these capabilities?▼
Bioinformaticians, computational biologists, and data scientists working with high-throughput omics data benefit from these capabilities. The platform is designed for researchers needing to bridge raw genomic metadata from KBase or JGI lakehouses with actionable hypothesis generation and statistical validation.
What are the prerequisites for querying the JGI and KBase datasets?▼
Accessing these datasets requires connectivity to the KBase BERDL Datalake via REST interfaces and the Dremio Lakehouse for JGI GOLD and IMG metadata. Users must have appropriate credentials for these specific scientific repositories to execute SQL queries and retrieve genomic metadata.