Picture this: you're three years into a promising drug development program, sitting on terabytes of clinical data, genomic sequences, and experimental results. The data holds the answers to your next breakthrough, but extracting those insights feels like searching for a needle in a haystack—while wearing oven mitts.
In biotechnology research, data isn't just numbers on a screen. It's patient outcomes, molecular interactions, and the building blocks of life-saving treatments. Yet most researchers spend more time wrestling with VLOOKUP
formulas than actually analyzing their discoveries.
That's where intelligent biotech analytics transforms everything. With the right tools, you can turn months of manual data processing into minutes of AI-powered insights, letting you focus on what matters most: advancing human health.
Sourcetable brings AI-powered analysis to biotechnology research, making complex data accessible to every team member.
Automatically analyze patient data, track adverse events, and identify efficacy patterns across treatment groups with natural language queries.
Monitor compound progression, analyze molecular activity, and predict development timelines using integrated research databases.
Generate FDA-compliant reports, track documentation requirements, and maintain audit trails with automated compliance workflows.
Share findings across global teams, synchronize lab data in real-time, and maintain version control for critical research documents.
Use AI to predict drug interactions, model patient responses, and identify promising research directions before investing resources.
Track research budgets, analyze cost-per-outcome metrics, and optimize resource allocation across multiple development programs.
See how research teams use intelligent analytics to accelerate discovery and improve outcomes.
A mid-stage biotech company analyzed patient stratification data across 500 subjects to identify optimal dosing regimens. By comparing efficacy markers and side effect profiles, they reduced their Phase III timeline by 8 months and improved predicted success rates by 23%.
Researchers studying rare genetic disorders integrated genomic sequencing data with patient phenotypes across multiple studies. This analysis revealed three previously unknown genetic variants, leading to more targeted therapeutic approaches and improved patient outcomes.
A biologics manufacturer used predictive analytics to optimize fermentation processes for a new monoclonal antibody. By analyzing thousands of batch records, they increased yield by 31% and reduced production costs by $2.3 million annually.
A pharmaceutical company streamlined their FDA submission process by automatically generating required statistical analyses from clinical databases. This reduced submission preparation time from 6 months to 6 weeks while improving data accuracy and consistency.
Transform your biotechnology data into actionable insights with our step-by-step process.
Import data from LIMS systems, clinical databases, genomic sequencers, and research instruments. Sourcetable automatically recognizes biotech data formats and structures your information for analysis.
Instead of complex SQL queries or formula manipulation, simply ask: 'Which patients showed the best response to treatment?' or 'What's the correlation between gene expression and drug efficacy?'
Our AI analyzes your data using biotech-specific algorithms, identifying patterns, correlations, and anomalies that might take weeks to discover manually.
Automatically create publication-ready charts, statistical summaries, and regulatory reports that meet industry standards for scientific rigor and compliance.
Whether you're working with massive genomic datasets or precise molecular measurements, Sourcetable handles the complexity so you can focus on the science.
Sourcetable implements enterprise-grade security with SOC 2 compliance, end-to-end encryption, and audit trails. All data processing meets HIPAA, FDA 21 CFR Part 11, and international regulatory standards for biotechnology research.
Yes, Sourcetable handles massive genomic datasets efficiently. You can import FASTA, FASTQ, VCF files and other genomic formats, then use natural language queries to analyze genetic variants, gene expression patterns, and molecular interactions without complex bioinformatics programming.
Our AI is trained on biotechnology and pharmaceutical data patterns, understanding terms like biomarkers, pharmacokinetics, molecular targets, and clinical endpoints. It can interpret complex biological relationships and generate scientifically accurate analyses.
Absolutely. Sourcetable connects to multiple data sources simultaneously, including clinical trial management systems, laboratory information systems, and research databases. Data is automatically synchronized and standardized for unified analysis across all sites.
You can export analysis results in formats required for FDA submissions, scientific publications, and regulatory agencies. This includes statistical tables, CONSORT diagrams, forest plots, and other standard biotech reporting formats with full documentation and audit trails.
Most biotechnology analyses that previously took days or weeks can be completed in minutes. Simple queries like patient stratification or efficacy comparisons happen instantly, while complex multi-variable analyses typically complete within hours rather than weeks.
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.