Bioinformatics Related Tutorials Bioinformatics, Medical Informatics, Computational Biology and Biological Network Analysis Survey & Review Papers Bioinformatics software for genomic: a systematic review on GitHub Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data Developments in Algorithms for Sequence Alignment: A Review A Review on Planted (l, d) Motif Discovery Algorithms for Medical Diagnose Blockchain technology in the pharmaceutical industry: a systematic review A Review of Cell-Based Computational Modeling in Cancer Biology Computational healthcare: Present and future perspectives (Review) A review of protein–protein interaction network alignment: From pathway comparison to global alignment Advances in clinical genetics and genomics (Review paper) The benefits and threats of blockchain technology in healthcare: A scoping review Computational Methods for Identifying Similar Diseases Review on the Development and Applications of Medicinal Plant Genomes Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review A Review of Cancer Genetics and Genomics Studies in Africa Blockchain in healthcare and health sciences (Review) Blockchain for genomics and healthcare: a literature review, current status, classification and open issues Good review about Clinical metagenomics A Review of 2020’s Top Translational Bioinformatics Publications Deep learning in mental health outcome research: a scoping review A review of the role of public health informatics in healthcare A Review on Potentials of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading Visual Analytics of Genomic and Cancer Data: A Systematic Review Network Medicine in the Age of Biomedical Big Data (Review) Machine Learning in Drug Discovery: A Review A review on application of nanoinformatics and bioinformatics in nanomedicine Recent advances in biomedical literature mining A review of bioinformatic pipeline frameworks Review of machine learning methods for RNA secondary structure prediction Probiotics has no bad effect on any diseases (Twenty years review of probiotic meta-analyses articles: Effects on disease prevention and treatment) Disease networks and their contribution to disease understanding (Review) Network approaches to systems biology analysis of complex disease Computer-aided biomarker discovery for precision medicine: data resources, models and applications Recent advances in clinical genetics and genomics (Review) Artificial intelligence applications in psychoradiology Precision medicine new opportunity for complex diseases Systems biology in disease modeling and control, analysis and perspectives The potential of mRNA vaccines for a wide range of diseases Bioinformatics Approaches for Determining the Functional Impact of Repetitive Elements on Non-coding RNAs Network based Approach to Drug Discovery: A Mini Review Network modeling methods for precision medicine Good review of Gene Regulatory Network Inference techniques and tools Review of Gene Set Analysis for genomics data COVID-19 drug repurposing: A review of computational screening methods, clinical trials, and protein interaction assays Systematic review of computational methods for predicting long noncoding RNAs Computational network biology: Data, models, and applications Machine learning Solutions for Osteoporosis – a Review Incorporating Machine Learning into Established Bioinformatics Frameworks Exploring the computational methods for protein-ligand binding site prediction A Review of Biomedical Datasets Relating to Drug Discovery A Survey of Brain Tumor Segmentation and Classification Algorithms Machine learning methods for prediction of cancer driver genes: a survey paper Computational methods for cancer driver discovery: A survey Survey of miRNA-miRNA cooperative regulation principles across cancer types Exploration of databases and methods supporting drug repurposing: a comprehensive survey Machine learning approaches and databases for prediction of drug–target interaction: a survey paper Status of Bioinformatics Education in South Asia: Past and Present Biological Computation and Computational Biology: Survey, Challenges, and Discussion A survey on literature based discovery approaches in biomedical domain A survey of best practices for RNA-seq data analysis A survey on deep learning in DNA/RNA motif mining Web-based drug repurposing tools: a survey Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey A survey of web resources and tools for the study of Traditional Chinese Medicine (TCM) network pharmacology A Survey of Current Resources to Study lncRNA-protein Interactions Bipartite graphs in systems biology and medicine: a survey of methods and applications A new survey research of computational methods for drug-target interaction (DTI) prediction and related datasets A Survey of Computational Methods and Resources Main challenges researchers face in analyzing data, and the solutions Survey of Machine Learning Techniques in Drug Discovery A comprehensive survey of bioinformatics tools and databases in Plant RNA editing A breif survey about Evolution of biosequence search algorithms A sample systematic review and a bioinformatics analysis A survey fo Bioinformatics application to biotechnology field Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications Long walk to genomics: History and current approaches to genome sequencing and assembly Network science of biological systems at different scales: A review Network-based methods for predicting essential genes or proteins: a survey A survey of gene regulatory networks modelling methods: from differential equations, to Boolean and qualitative bioinspired models Research on the Computational Prediction of Essential Genes A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis Computational Methods for Identifying Similar Diseases A review on the application of bioinformatics tools in food microbiome studies Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey Biomedical data and computational models for drug repositioning: a comprehensive review Grasping frequent subgraph mining for bioinformatics applications Microarray cancer feature selection: Review, challenges and research directions A review of the application of deep learning in the detection of Alzheimer's disease Application of Machine Learning for Drug–Target Interaction Prediction Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions COVID-19: A systematic review and update on prevention, diagnosis, and treatment Using Machine Learning for Pharmacovigilance: A Systematic Review A State-of-the-Art Survey on Deep Learning Methods and Applications in Bioinformatics A survey of circular RNAs in complex diseases: databases, tools and computational methods The past, present and future of genomics and bioinformatics: A survey of Brazilian scientists A brief review of protein–ligand interaction prediction A guide to machine learning for biologists A practical guide to interpreting and generating bottom-up proteomics data visualizations A survey and evaluation of Web-based tools/databases for variant analysis of TCGA data Breast cancer detection using artificial intelligence techniques: A systematic literature review Bioinformatics Research on Drug Sensitivity Prediction A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions Computational medicine: quantitative modeling of complex diseases Challenges and Limitations of Biological Network Analysis A guide to performing systematic literature reviews in bioinformatics A paradigm shift in medicine: A comprehensive review of network-based approaches Data mining in clinical big data: the frequently used databases, steps, and methodological models Personal Health Records: A Systematic Literature Review Feature selection methods and genomic big data: a systematic review Impact of computational approaches in the fight against COVID-19: an AI guided review of 17000 studies Interpretation of differential gene expression results of RNA-seq data: review and integration Computational drug repurposing based on electronic health records: a scoping review A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19 Recent advances in network-based methods for disease gene prediction A Literature Review of Network Models in Neuroscience Cancer Diagnosis Using Deep Learning: A Bibliographic Review A review of methods and databases for metagenomic classification and assembly Advanced machine-learning techniques in drug discovery Blockchain for Genomics: A Systematic Literature Review Deep learning-based clustering approaches for bioinformatics Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction Determining Protein–Protein Interaction Using Support Vector Machine: A Review Changing Trends in Computational Drug Repositioning A review of deep learning applications in human genomics using next-generation sequencing data Navigating the pitfalls of applying machine learning in genomics A Review of Mathematical and Computational Methods in Cancer Dynamics Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future Gastric cancer and genomics: review of literature A survey of machine learning techniques for prediction of drug side effects A Survey on Computational Methods for Investigation on ncRNA-Disease Association A systematic survey of centrality measures for protein-protein interaction networks Network analysis with biological data of cancer patients: A scoping review A comprehensive survey of the approaches for pathway analysis using multi-omics data integration Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities Post-translational modifications in proteins: resources, tools and prediction methods A review of biomedical datasets relating to drug discovery: a knowledge graph perspective Biomedical data, computational methods and tools for evaluating disease–disease associations Application of artificial intelligence in drug repositioning Artificial Intelligence, Machine Learning and Deep Learning in Ion Channel Bioinformatics Machine learning and statistical methods for clustering single-cell RNA-sequencing data Network biology: Recent advances and challenges Machine learning solutions for predicting protein–protein interactions Association of COVID-19 with diabetes: a systematic review and meta-analysis Bioinformatics for Marine Products: An Overview of Resources, Bottlenecks, and Perspectives Machine Learning Applied to Diagnosis of Human Diseases: A Systematic Review Application of Artificial Intelligence Techniques to Predict Risk of Recurrence of Breast Cancer: A Systematic Review Computational models for predicting drug responses in cancer research Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities Classification of breast cancer using microarray gene expression data: A survey Gene Set Analysis: Challenges, Opportunities, and Future Research Interpretation of differential gene expression results of RNA-seq data: review and integration Machine Learning in Medicine Artificial Intelligence in Healthcare: Review and Prediction Case Studies A bibliometric analysis of natural language processing in medical research Computational Methods for Prediction of Human Protein-Phenotype Associations: A Review A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases Graph representation learning in bioinformatics: trends, methods and applications Mining Proteome Research Reports: A Bird’s Eye View A review of deep learning applications in human genomics using next-generation sequencing data Artificial intelligence in cancer target identification and drug discovery A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences, Bulk RNA-seq, and Single-cell RNA-seq A comprehensive survey on computational learning methods for analysis of gene expression data Computational methods to predict protein aggregation Computational Methods for Prediction of Human Protein-Phenotype Associations: A Review A Review of Fifteen Years Developing Computational Tools to Study Protein Aggregation Review on the Application of Machine Learning Algorithms in the Sequence Data Mining of DNA A Brief Review on Deep Learning Applications in Genomic Studies Fifteen Years of Gene Set Analysis for High-Throughput Genomic Data: A Review of Statistical Approaches and Future Challenges Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review Computational drug discovery and repurposing for the treatment of COVID-19: A systematic review Mapping miRNA Research in Schizophrenia: A Scientometric Review A review of data mining in bioinformatics Machine-Learning-Based Disease Diagnosis: A Comprehensive Review Artificial intelligence in medical diagnostics: A review from a South African context Deep learning: new computational modelling techniques for genomics ChatGPT Utility in Healthcare Education, Research, and Practice:Systematic Review on the Promising Perspectives and Valid Concerns Disease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends Protein–RNA interaction prediction with deep learning: structure matters Biological Sequence Classification: A Review on Data and General Methods Best practices for single-cell analysis across modalities Computational methods for drug combination prediction: systematic review A review of deep learning applications for genomic selection Systematic review of computational methods for drug combination prediction A review on detection of prostate cancer using deep learning techniques Risk prediction models for breast cancer: a systematic review Machine learning as a new horizon for colorectal cancer risk prediction? A systematic review Temporal networks in biology and medicine: a survey on models, algorithms, and tools Applications of Transformer-based Language Models in Bioinformatics: A Survey A survey on adverse drug reaction studies A Survey of Machine Learning Approaches Applied to Gene Expression Analysis for Cancer Prediction A Survey of Biological Data in a Big Data Perspective A survey of the most recent Python packages for use in biology Protein–RNA interaction prediction with deep learning: structure matters A survey of machine learning-based methods for COVID-19 medical image analysis Comprehensive Survey of Recent Drug Discovery Using Deep Learning Drug Design Assisted by Computers: New Tools in Bioinformatics A survey of computational methods and databases for lncRNA-miRNA interaction prediction A comprehensive review and conceptual framework for cloud computing adoption in bioinformatics Using machine learning approaches for multi-omics data analysis: A review Review on Databases and Bioinformatic Approaches on Pharmacogenomics of Adverse Drug Reactions Multi-omic and multi-view clustering algorithms: review and cancer benchmark Deep Learning Based Methods for Molecular Similarity Searching: A Systematic Review Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review A review on the application of bioinformatics tools in food microbiome studies Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review Deep learning in drug discovery: an integrative review and future challenges Protein–protein interaction prediction with deep learning: A comprehensive review Disease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends A comprehensive review and conceptual framework for cloud computing adoption in bioinformatics Applications of cutting-edge artificial intelligence technologies in biomedical literature and document mining Role of miRNA in Gastric Cancer Risk, Onset, and Progression: A Systematic Review Multimodal machine learning in precision health: A scoping review A Review of Machine Learning Methods and Tools for Integrated Multi-Omics Analyses in Oncology Current Artificial Intelligence (AI) Techniques, Challenges, and Approaches in Controlling and Fighting COVID-19: A Review A systematic review of computational approaches to understand cancer biology for informed drug repurposing Visibility graph analysis for brain: scoping review Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review Machine learning approach to gene essentiality prediction: a review Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of Researchers 
