Joseph Oduor Odongo
Joseph Oduor Odongo created 74 GPTs
Automate cell type annotation in single-cell RNA sequencing datasets using marker gene information to assist in the identification of cell types across various tissues and species, enhancing efficiency and accuracy.
3.5600+A specialized model for genetic-phenotype knowledge representation and genomics relation analysis.
100+Computational Phylogenetics Assistance
specializing in evolutionary algorithms and the application of artificial intelligence in phylogenetics.
2.3100+Specialized assistant for phylogenetic sequence analysis, guiding users through advanced searches and results interpretation.
560+Cosmetic Formulation & Development GPT
Cosmetic formulation expertise, focusing on developing cost-effective, harmless, and 100% green formulations using bio-ingredients. It also addresses equipment specification, quality control (QC) guidelines, and reverse engineering.
550+This automation uses LeonardoAI to generate dynamic, cinematic motion from your image prompts, then seamlessly uploads the results to Dropbox. Perfect for artists, marketers, and content creators looking to add an animated flair to their visuals.
50+helps users find research gaps by leveraging proven techniques, analyzing the latest publications, and using advanced tools to discover underexplored areas in their field, thus guiding them toward impactful research and top journal publications.
30+Responsive DNA programming assistant, adapting to user expertise in CRISPR and Python.
530+Guide users through the process of determining the correct sample size based on various research parameters, provide justifications based on research geolocation, objectives, and offer references.
430+Carbon Credit Data Analyser and Price Projector
An advanced version of an AI carbon credit analyst empowered by the subGnosis framework.
530+models allele frequencies in a population using the Hardy-Weinberg Equilibrium and integrates evolutionary forces like migration, natural selection, genetic drift, and mutation.
30+This advanced AI system analyzes research proposals against the existing scientific landscape, identifying gaps, suggesting innovative approaches, and providing actionable insights to elevate the impact of new research.
530+helps determine DNA amplification base pairs in electrophoresis, suggests ideal PCR conditions, and designs primers. It retrieves references supporting PCR conditions, primer design methods, and electrophoresis analysis.
1.520+Specialized in molecular biology and bioinformatics with a focus on designing primers for PCR (Polymerase Chain Reaction) experiments. Assist users in creating optimal forward and reverse primer sequences based on the DNA template they provide.
20+AI Research Assistant. Search 200M academic papers, get science-based answers, and draft content with accurate citations.
20+Intellectual Property Checker GPT
Intellectual Property Expert offers tailored advice on intellectual property registration, adapting to regional laws.
20+a biomimetic designer and research assistant. Guide users work through the Biomimicry Design Process to propose biomimetic solutions to challenges.
10+An innovative tool that provides in-depth knowledge of chemical elements, their properties, and trends, making it ideal for students, researchers, and educators. Interactively explore and understand the fundamental concepts of the periodic table, from element classification to periodic trends.
10+assist users in understanding, summarizing, and comparing patents, making complex technical and legal information accessible to a broad audience.
10+conceptualize and design a gene editing project using CRISPR-Cas9 technology.
10+Research Methodology Designer GPT
Assists users in creating a comprehensive and structured research methodology for their studies
10+Analyze CRISPR-induced mutations from sequencing data. The model supports multiple alignment strategies, classifies mutations (e.g., insertions, deletions, substitutions), and identifies the DNA repair pathways involved (NHEJ, HDR, MMEJ).
10+In Silico Drug Design Algorithm
Specialized in designing antibiotics targeting antimicrobial-resistant (AMR) bacterial strains. Guide process of target selection, virtual screening, docking, molecular dynamics, and ADMET profiling, producing actionable outputs such as lead compounds for experimental testing.
10+DNA Folding and Structural Dynamics Prediction
Predict how a given DNA sequence will fold into its 3D structure and how it impacts gene expression and protein synthesis. simulate the folding dynamics using molecular mechanics, particularly finite element modeling.
10+Identifying gene functions from given DNA sequences. This model incorporates motif/domain searches, leverage NCBI data, and use language model predictions to provide comprehensive gene function analysis.
110+Automatically design synthetic organisms with optimized metabolic pathways for the production of target chemicals or materials.
10+Biotechnology Patent Analyzer GPT
Review Biotechnology patents, summarizes claims, and offers research links. Perfect for innovators and legal experts.
10+guides users through the comprehensive process of calculating, analyzing, and managing their carbon footprint based on structured principles of carbon accounting.
10+This automation grabs YouTube transcripts, processes them for clarity, and enhances the content with images. Perfect for professionals and marketers aiming to boost their social media presence with high-quality, automated content. Simplify your workflow and captivate your audience effortlessly!
10+DNA Sequence Validation and Optimization
DNA Sequence Optimizer using mathematical models, particularly graph theory, to evaluate and optimize DNA constructs. DNA sequence is structured for maximum stability and functionality, focusing on sequence folding and codon optimization for gene expression
110+It extracts study objectives and automatically performs data analysis using R, Python, or SPSS algorithms. It provides interpretations, visualizations, and reports tailored to the subject under study.
10+Genome-wide Association Studies (GWAS) and Quantitative Trait Loci (QTL) analysis. An interactive tool that allows users to input genomic data, specify traits of interest, and perform statistical analysis to identify associations between genetic markers and traits.
10+Tree Analysis & Carbon Sequestration GPT
AI model designed to assist in environmental planning and management by analyzing tree cover, recommending new planting strategies, and estimating carbon sequestration.
9+Genetic Sequence Geometric Representation
Analyze genetic sequences by visualizing genetic variation in multi-dimensional spaces using Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE). Researchers identify patterns, clustering, or relationships in large genetic datasets.
9+E. Coli Synthetic Genetic Circuit Architecture
specialized focus on the design and implementation of synthetic genetic circuits in Escherichia coli (E. coli) bacteria.
9+Insights on commercialized GMOs, their science, benefits, and ethical considerations.
9+Design and develop a groundbreaking multiplex CRISPR-Cas9 system that can simultaneously target and edit multiple antibiotic resistance genes within bacterial pathogens.
8+This advanced AI-powered platform is designed to enhance our understanding and predictive capabilities regarding climate change through state-of-the-art data analysis, refined climate models, and comprehensive environmental monitoring.
8+Bacillus subtilis Genetic Circuit
specialized in designing genetic circuits for Bacillus subtilis, a bacterium widely used for its protein secretion capabilities in enzyme production and biopesticides.
8+Advanced language model specialized in CRISPR-based gene-editing experiments. Assist researchers in designing comprehensive gene-editing projects
6+Predict mRNA structure, translation efficiency, stability, and design optimized mRNA sequences from user inputs. It can be used for biological research, mRNA vaccine development, and gene therapy optimization.
6+Bacterial DNA Palindromic Repeats Identifier
Identify and catalog palindromic repeats in various bacterial genomes using online crawling of CRISPR-related databases such as CRISPRdb, CRISPRone, and the NCBI database.
6+Literature-Based Discovery System
Analyze vast amounts of published research, an LBD system can identify novel hypotheses, suggest new research directions, and facilitate interdisciplinary discoveries that may not be immediately obvious to researchers.
5+Simulate how proteins fold, stabilize, and function based on the DNA construct design. predict whether the expressed proteins will fold correctly, maintain stability, and avoid misfolding during protein synthesis.
55+Microbial Strain Engineering GPT
Specializing in enhancing traits in microbial hosts for improved yield, resilience, or metabolic capabilities using CRISPR. Assist users in designing and optimizing microbial strains by leveraging genome editing technologies.
4+Biomarkers & Genetic Signatures GPT
Advanced bioinformatics assistant specialized in analyzing biological data to identify biomarkers or genetic signatures
4+designing optimal gRNA sequences for CRISPR experiments. The model balances on-target efficiency and off-target minimization using machine learning models and sequence comparison tools.
4+Model for Identifying Beneficial Microorganisms for Specific Traits. Conduct online research and identify microorganisms with advantageous traits for specific applications in areas such as synthetic biology, biotechnology, agriculture, and medicine.
3+Multiplex Research Analytics GPT
Data Analytics for biotechnology, synthetic biology, and bioinformatics. It leverages AI to provide insights, make predictions, and generate reports. Users can input datasets, request analyses, and receive outputs in various formats, including visualizations and written reports
3+assisting researchers and scientists with creating, optimizing, and using next-generation genetic vectors, particularly for bacteria, yeast, and filamentous fungi.
3+Assist users in formulating and optimizing glyphosate-based herbicides tailored to target specific weed species in a given geographic location. This includes adjusting formulations based on climate, soil type, and environmental regulations.
2+Analyze the amino acid sequence for known motifs or domains and determine the general function of the protein. - Access external databases like Pfam, InterPro, or other databases to cross-reference the sequence and predict the protein's functionality.
2+Enhance the ranking of hypotheses generated by Literature-Based Discovery (LBD) systems. Focuses on optimizing the mathematical algorithms used for hypothesis ranking by leveraging statistical techniques, graph theory, and probabilistic models.
2+CRISPR Off-Target Predictor GPT
designed to predict off-target effects of CRISPR gRNA sequences by analyzing genome-wide data, accounting for mismatches, DNA bulge formation, and providing an advanced AI-powered prediction of off-target activity.
2+specializing in identifying the Biosafety Level (BSL) for various biological agents. Identify the appropriate Biosafety Level (BSL 1-4) for handling that agent, safety measures, facility requirements, and handling precautions.
2+Biotech Risk Assessment Hypothesis
Comprehensive risk assessment hypothesis, define intervention strategies, and establish threshold determinants based on bioinformatics data for various biotech products (e.g., GMOs, gene editing, gene drive, synthetic biology). Strong scientific studies supporting the safety of these technologies.
2+DUS (Distinctness, Uniformity, and Stability) Testing in crops. This GPT should evaluate distinctness, uniformity, and stability based on user input data on plant traits and apply statistical tests to provide conclusions.
2+Identify and classify CRISPR arrays with higher accuracy by integrating machine learning and pattern recognition models.
2+Country Based GMO Regulatory Framework
Expert on global GMO regulations, offering detailed analysis of country-specific frameworks.
1+Biosecurity Risk Detection Algorithm GPT
designed to detect potential biological threats in research papers. It uses advanced text mining, Natural Language Processing (NLP), and machine learning to identify mentions of harmful biological agents, dual-use research, and other biosecurity risks.
1+optimization of Saccharomyces cerevisiae for various production pathways by leveraging mathematical modeling, pathway analysis, and synthetic biology. The output should provide a comprehensive report that includes the synthetic DNA sequence, relevant models, and optimized parameters.
1+analyze and assess the risks associated with GMOs, considering the specific laws, ecological environments, agricultural practices, and societal attitudes towards GMOs in different countries.
1+Agrobacterium-Mediated Gene Transfer GPT
Provide insights on how to improve transformation efficiency through mathematical, physics-based, and chemistry-driven simulations. Additionally, it will recommend specific genomic loci for T-DNA integration, maximizing the likelihood of achieving the desired phenotypic traits.
1+Genetic Circuit Saccharomyces cerevisiae
Assist researchers and engineers in synthetic genetic circuit design for Saccharomyces cerevisiae (Baker’s yeast), widely used in bioethanol production, pharmaceuticals, and metabolic engineering.
1+Fluorogenic Amino Acid Design & Synthesis
Automate the design, retrosynthetic analysis, and performance prediction of fluorogenic amino acids based on user-defined fluorescence properties (e.g., quantum yield, excitation/emission wavelengths) and synthetic accessibility.
Analyze protein sequences and compute the aggregation propensity based on various properties such as hydrophobicity, charge, secondary structure propensity, and pairwise interactions. Modify proteins to reduce aggregation risk or suggest potential stability under given conditions.
Aflatoxin Biocontrol Formulation GPT
Formulating and optimizing microbial-based solutions to control aflatoxin contamination in crops.
Cellular Environment Interactions GPT
Simulating the interactions between a DNA construct and various cellular environments using a multiphysics approach. predict how changes in physical conditions (e.g., temperature, pressure, diffusion, biochemical gradients, and electrical fields) impact the DNA's behavior and optimize its design.
Synthetic Genetic Circuits for Folate Production
Help in creating synthetic genetic circuits and biosensors for producing folate (vitamin B9) using microbial systems powered by renewable electric energy.
Microbiome-Tailored Probiotics Designer
Synthetic Biology GPT specialized in designing customized probiotic strains tailored to individual microbiome profiles and health needs. Your primary function is to assist researchers, healthcare professionals, and biotech companies in developing personalized microbiome interventions.