On the public citation graph
Evaluating a large language model’s ability to solve programming exercises from an introductory bioinformatics course
0 signed · 126 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/0471448354openalex-snapshot
Exploratory Data Mining and Data Cleaning
inferredcites →https://doi.org/10.1002/cae.22109openalex-snapshot
Experiences from placing Stack Overflow at the core of an intermediate programming course
inferredcites →https://doi.org/10.1007/978-3-030-25943-3_21openalex-snapshot
Working with Excel Files
inferredcites →https://doi.org/10.1007/978-3-031-02216-6_3openalex-snapshot
Computational Thinking and Using Programming to Learn
inferredcites →https://doi.org/10.1016/s2589-7500(23)00019-5openalex-snapshot
Generating scholarly content with ChatGPT: ethical challenges for medical publishing
inferredcites →https://doi.org/10.1017/9781108654555.010openalex-snapshot
Cognitive Sciences for Computing Education
inferredcites →https://doi.org/10.1021/acs.jproteome.0c00919openalex-snapshot
Simplified and Unified Access to Cancer Proteogenomic Data
inferredcites →https://doi.org/10.1021/pr501254jopenalex-snapshot
The CPTAC Data Portal: A Resource for Cancer Proteomics Research
inferredcites →https://doi.org/10.1038/d41586-023-00288-7openalex-snapshot
ChatGPT: five priorities for research
inferredcites →https://doi.org/10.1038/d41586-023-00500-8openalex-snapshot
How Nature readers are using ChatGPT
inferredcites →https://doi.org/10.1093/bib/3.4.353openalex-snapshot
Bioinformatics training in the USA
inferredcites →https://doi.org/10.1093/bib/bbx100openalex-snapshot
A global perspective on evolving bioinformatics and data science training needs
inferredcites →https://doi.org/10.1093/bioinformatics/btp163openalex-snapshot
Biopython: freely available Python tools for computational molecular biology and bioinformatics
inferredcites →https://doi.org/10.1093/nar/gks1193openalex-snapshot
NCBI GEO: archive for functional genomics data sets—update
inferredcites →https://doi.org/10.1093/nar/gky1049openalex-snapshot
UniProt: a worldwide hub of protein knowledge
inferredcites →https://doi.org/10.1109/mcse.2011.37openalex-snapshot
The NumPy Array: A Structure for Efficient Numerical Computation
inferredcites →https://doi.org/10.1111/nyas.13207openalex-snapshot
A vision for collaborative training infrastructure for bioinformatics
inferredcites →https://doi.org/10.1126/science.1259657openalex-snapshot
Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak
inferredcites →https://doi.org/10.1126/science.abq1158openalex-snapshot
Competition-level code generation with AlphaCode
inferredcites →https://doi.org/10.1126/science.adg4246openalex-snapshot
Understanding the limits of AI coding
inferredcites →https://doi.org/10.1126/science.adg7879openalex-snapshot
ChatGPT is fun, but not an author
inferredcites →https://doi.org/10.1145/1089733.1089734openalex-snapshot
Lowering the barriers to programming
inferredcites →https://doi.org/10.1145/1151954.1067453openalex-snapshot
A study of the difficulties of novice programmers
inferredcites →https://doi.org/10.1145/3160489.3160492openalex-snapshot
Intelligent tutoring systems for programming education
inferredcites →https://doi.org/10.1145/321186.321192openalex-snapshot
Experiments with a Heuristic Compiler
inferredcites →https://doi.org/10.1145/3293881.3295779openalex-snapshot
Introductory programming: a systematic literature review
inferredcites →https://doi.org/10.1145/3344429.3372508openalex-snapshot
Compiler Error Messages Considered Unhelpful
inferredcites →https://doi.org/10.1145/3555367openalex-snapshot
The Premature Obituary of Programming
inferredcites →https://doi.org/10.1145/362566.362568openalex-snapshot
Toward automatic program synthesis
inferredcites →https://doi.org/10.1158/2159-8290.cd-13-0219openalex-snapshot
Connecting Genomic Alterations to Cancer Biology with Proteomics: The NCI Clinical Proteomic Tumor Analysis Consortium
inferredcites →https://doi.org/10.1164/rccm.201310-1917ocopenalex-snapshot
The Mitochondrial Cardiolipin Remodeling Enzyme Lysocardiolipin Acyltransferase is a Novel Target in Pulmonary Fibrosis
inferredcites →https://doi.org/10.1186/1471-2105-9-82openalex-snapshot
A comparison of common programming languages used in bioinformatics
inferredcites →https://doi.org/10.1371/journal.pcbi.1003496openalex-snapshot
Bioinformatics Curriculum Guidelines: Toward a Definition of Core Competencies
inferredcites →https://doi.org/10.1371/journal.pcbi.1004867openalex-snapshot
An Introduction to Programming for Bioscientists: A Python-Based Primer
inferredcites →https://doi.org/10.1371/journal.pcbi.1005755openalex-snapshot
Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators
inferredcites →https://doi.org/10.1371/journal.pcbi.1005772openalex-snapshot
The development and application of bioinformatics core competencies to improve bioinformatics training and education
inferredcites →https://doi.org/10.1371/journal.pdig.0000198openalex-snapshot
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
inferredcites →https://doi.org/10.1371/journal.pone.0196878openalex-snapshot
Bioinformatics core competencies for undergraduate life sciences education
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.728openalex-snapshot
PyMT5: multi-mode translation of natural language and Python code with transformers
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.139openalex-snapshot
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
inferredcites →https://doi.org/10.2190/gujt-jcbj-q6qu-q9plopenalex-snapshot
Conditions of Learning in Novice Programmers
inferredcites →https://doi.org/10.25080/majora-92bf1922-00aopenalex-snapshot
Data Structures for Statistical Computing in Python
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3389/fgene.2019.00331openalex-snapshot
Expanding Research Capacity in Sub-Saharan Africa Through Informatics, Bioinformatics, and Data Science Training Programs in Mali
inferredcites →https://doi.org/10.4230/oasics.icpec.2023.9openalex-snapshot
An Empirical Study of Problem-Aligned Multilingual Code Generation and Directed Code Translation by Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.2002.08155openalex-snapshot
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
inferredcites →https://doi.org/10.48550/arxiv.2107.03374openalex-snapshot
A Direction-Aware Study of LLM-Based Code Translation Across Eight Programming Languages
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4891302openalex-extracted
Computer Programming Education in the Age of Generative AI: Insights from Empirical Research
inferred← citeshttps://doi.org/10.1002/advs.202407094openalex-snapshot
An AI Agent for Fully Automated Multi‐Omic Analyses
inferred← citeshttps://doi.org/10.1002/qub2.67openalex-snapshot
Bioinformatics and biomedical informatics with ChatGPT: Year one review
inferred← citeshttps://doi.org/10.1007/978-3-031-42622-3_49openalex-snapshot
AI-Powered Chatbots and the Transformation of Work: Findings from a Case Study in Software Development and Software Engineering
inferred← citeshttps://doi.org/10.1007/978-3-031-69300-7_11openalex-snapshot
Three Eras of Computational Logics of Discovery: Deductive Past, Inductive Present, and Abductive Future
inferred← citeshttps://doi.org/10.1007/978-3-031-83210-9_21openalex-snapshot
Influence of ChatGPT on Programming Code Generation: A Case Study of the Technical University of Manabí
inferred← citeshttps://doi.org/10.1007/s10439-024-03554-5openalex-snapshot
Integrating Large Language Models in Bioinformatics Education for Medical Students: Opportunities and Challenges
inferred← citeshttps://doi.org/10.1007/s10639-025-13452-5openalex-snapshot
Teaching and learning computer programming using ChatGPT: A rapid review of literature amid the rise of generative AI technologies
inferred← citeshttps://doi.org/10.1007/s11831-026-10743-zopenalex-snapshot
Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances
inferred← citeshttps://doi.org/10.1016/b978-0-323-95502-7.00023-3openalex-snapshot
Computational Pipelines and Workflows in Bioinformatics
inferred← citeshttps://doi.org/10.1016/j.acra.2024.09.042openalex-snapshot
Large Language Models can Help with Biostatistics and Coding Needed in Radiology Research
inferred← citeshttps://doi.org/10.1016/j.jbi.2024.104724openalex-snapshot
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation
inferred← citeshttps://doi.org/10.1016/j.tibtech.2025.05.008openalex-snapshot
Accelerating promoter identification and design by deep learning
inferred← citeshttps://doi.org/10.1038/s41698-024-00576-zopenalex-snapshot
Scientific figures interpreted by ChatGPT: strengths in plot recognition and limits in color perception
inferred← citeshttps://doi.org/10.1093/bib/bbaf045openalex-snapshot
Steering veridical large language model analyses by correcting and enriching generated database queries: first steps toward ChatGPT bioinformatics
inferred← citeshttps://doi.org/10.1093/bioadv/vbaf169openalex-snapshot
Opportunities and considerations for using artificial intelligence in bioinformatics education
inferred← citeshttps://doi.org/10.1093/bioadv/vbaf321openalex-snapshot
REDAC: RNA-seq expression data analysis chatbot
inferred← citeshttps://doi.org/10.1093/bioinformatics/btaf653openalex-snapshot
Benchmarking large language models for identifying transcription factor regulatory interactions
inferred← citeshttps://doi.org/10.1093/gigascience/giaf149openalex-snapshot
Translating short-form Python exercises to other programming languages using diverse prompting strategies
inferred← citeshttps://doi.org/10.1093/gpbjnl/qzae002openalex-snapshot
On the Responsible Use of Chatbots in Bioinformatics
inferred← citeshttps://doi.org/10.1101/2023.10.15.562423openalex-snapshot
Bioinformatics Illustrations Decoded by ChatGPT: The Good, The Bad, and The Ugly
inferred← citeshttps://doi.org/10.1101/2023.10.18.563023openalex-snapshot
Bioinfo-Bench: A Simple Benchmark Framework for LLM Bioinformatics Skills Evaluation
inferred← citeshttps://doi.org/10.1101/2023.10.29.564479openalex-snapshot
Simplifying bioinformatics data analysis through conversation
inferred← citeshttps://doi.org/10.1101/2023.12.19.572483openalex-snapshot
A benchmark for large language models in bioinformatics
inferred← citeshttps://doi.org/10.1109/icetc66579.2025.11387189openalex-snapshot
GPT-Based Autograder: Enhancing Accuracy and Efficiency in Programming Assignment Evaluation
inferred← citeshttps://doi.org/10.1109/icict62343.2024.00060openalex-snapshot
Improving Source Code with Assistance from AI — A Pilot Case Study with ChatGPT
inferred← citeshttps://doi.org/10.1109/ict4da67218.2025.11282535openalex-snapshot
Redefining Open-ended Assessment Authorship: Empirical Insights on Mind versus Machine Assessments in Computer Science
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651296openalex-snapshot
Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection
inferred← citeshttps://doi.org/10.1111/imcb.12689openalex-snapshot
Artificial intelligence takes center stage: exploring the capabilities and implications of ChatGPT and other AI‐assisted technologies in scientific research and education
inferred← citeshttps://doi.org/10.1111/itor.13522openalex-snapshot
Conversational and generative artificial intelligence and human–chatbot interaction in education and research
inferred← citeshttps://doi.org/10.1111/jcal.70035openalex-snapshot
ChatGPT 's Performance Evaluation in Spreadsheets Modelling to Inform Assessments Redesign
inferred← citeshttps://doi.org/10.1128/jmbe.00331-25openalex-snapshot
Teaching bioinformatics with generative AI: judgment, uncertainty, and responsibility
inferred← citeshttps://doi.org/10.1145/3568813.3600142openalex-snapshot
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses
inferred← citeshttps://doi.org/10.1145/3631802.3631830openalex-snapshot
CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes
inferred← citeshttps://doi.org/10.1145/3636243.3636256openalex-snapshot
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education
inferred← citeshttps://doi.org/10.1145/3641554.3701859openalex-snapshot
Unlocking Potential with Generative AI Instruction: Investigating Mid-level Software Development Student Perceptions, Behavior, and Adoption
inferred← citeshttps://doi.org/10.1145/3641554.3701863openalex-snapshot
Large Language Models in Computer Science Education: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3656650.3656693openalex-snapshot
"This Sounds Unclear": Evaluating ChatGPT capability in translating end-user prompts into ready-to-deploy Python Code.
inferred← citeshttps://doi.org/10.1145/3704289.3704301openalex-snapshot
A Systematic Literature Review of the Opportunities and Advantages for AIGC (OpenAI ChatGPT, Copilot, Codex) in Programming Course
inferred← citeshttps://doi.org/10.1145/3719384.3719439openalex-snapshot
Challenges and Limitations of Using Artificial Intelligence Generated Content (AIGC) with ChatGPT in Programming Curriculum: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3719487.3719519openalex-snapshot
A Systematic Literature Review of the Practical Applications of Artificial Intelligence-Generated Content (AIGC) Using OpenAI ChatGPT, Copilot, and Codex in Programming Education
inferred← citeshttps://doi.org/10.1177/21582440251413008openalex-snapshot
Investigating ChatGPT Methods in the Higher Education Form a Student Engagement Perspective: Based on a Descriptive-Cross-Sectional Study
inferred← citeshttps://doi.org/10.1186/s13104-026-07693-xopenalex-snapshot
Understanding practical barriers to the global adoption of environmental DNA (eDNA) methods, tools, and standards
inferred← citeshttps://doi.org/10.1186/s41239-024-00494-xopenalex-snapshot
Risk management strategy for generative AI in computing education: how to handle the strengths, weaknesses, opportunities, and threats?
inferred← citeshttps://doi.org/10.12793/tcp.2024.32.e8openalex-snapshot
Data science through natural language with ChatGPT’s Code Interpreter
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1011319openalex-snapshot
Ten quick tips for harnessing the power of ChatGPT in computational biology
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1014236openalex-snapshot
Teaching artificial intelligence through drug–drug interaction clustering analysis: Integrating project-based learning and large language models
inferred← citeshttps://doi.org/10.1371/journal.pone.0317084openalex-snapshot
Leveraging large language models for data analysis automation
inferred← citeshttps://doi.org/10.17509/jik.v21i2.69108openalex-snapshot
Augmented reality integrated chatbot to improve learning outcomes in secondary school students.
inferred← citeshttps://doi.org/10.18260/1-2--61152openalex-snapshot
WIP: Strategies and Practices to Overcome Irresponsible and Low-Effort Deliverables (SPOILED) in an Excel-Based Database Class
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.496openalex-snapshot
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3780193/v1openalex-snapshot
BioLLMBench: A Comprehensive Benchmarking of Large Language Models in Bioinformatics
inferred← citeshttps://doi.org/10.2174/0113892029403403260112075225openalex-snapshot
Multiple Confabulations Found in Bioinformatics Tasks Carried Out by Several Free Large Language Models
inferred← citeshttps://doi.org/10.2196/63550openalex-snapshot
ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research
inferred← citeshttps://doi.org/10.22541/au.169029376.68639796/v1openalex-snapshot
Potential of ChatGPT in Biology Teaching and Learning at the Vietnamese High School
inferred← citeshttps://doi.org/10.24289/ijsser.1609741openalex-snapshot
Research trends and the impact of ChatGPT on educational environments
inferred← citeshttps://doi.org/10.30534/ijatcse/2024/031312024openalex-snapshot
Exploring the Competency of ChatGPT in Solving Competitive Programming Challenges
inferred← citeshttps://doi.org/10.3389/fbrio.2024.1326958openalex-snapshot
Emerging applications of artificial intelligence in pathogen genomics
inferred← citeshttps://doi.org/10.3390/app152413050openalex-snapshot
Fine-Tuning Generative AI with Domain Question Banks: Evaluating Multi-Type Question Generation and Grading
inferred← citeshttps://doi.org/10.35542/osf.io/gcq6topenalex-snapshot
Potential of ChatGPT in Biology Teaching and Learning at the Vietnamese High School
inferred← citeshttps://doi.org/10.4018/979-8-3693-1066-3.ch013openalex-snapshot
Cognitive Apprenticeship and Artificial Intelligence Coding Assistants
inferred← citeshttps://doi.org/10.4018/ijtee.339189openalex-snapshot
A Systematic Review of the Potential Influencing Factors for ChatGPT-Assisted Education
inferred← citeshttps://doi.org/10.4196/kjpp.2024.28.5.393openalex-snapshot
The transformative impact of large language models on medical writing and publishing: current applications, challenges and future directions
inferred← citeshttps://doi.org/10.48130/stati-0026-0014openalex-snapshot
Agentic T-STROBE: a front-shifted STROBE paradigm for observational research
inferred← citeshttps://doi.org/10.48550/arxiv.2310.00658openalex-snapshot
The Robots are Here: Navigating the Generative AI Revolution in Computing Education
inferred← citeshttps://doi.org/10.5753/educomp_estendido.2024.238811openalex-snapshot
Análise dos efeitos do idioma na geração automática de respostas por aplicações de LLM
inferred← citeshttps://doi.org/10.5753/rbie.2025.4477openalex-snapshot
Análise das Respostas de LLMs em Relação ao Conteúdo Introdutório de Programação: um Comparativo entre o ChatGPT e o Gemini
inferred← citeshttps://doi.org/10.5753/rbie.2026.7331openalex-snapshot
Espacios mentales en el aprendizaje de la programación, un estudio desde la didáctica de la informática
inferred← citeshttps://doi.org/10.5753/sbie.2025.12361openalex-snapshot
Generative AI Assisting Programming Learning: Functional Roles, Comparative Analysis, and Emerging Challenges
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.