One-to-One Consultation Classes about Bioinformatics
Personalized tutoring sessions tailored to meet your specific learning needs in bioinformatics and related fields
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Personalized tutoring sessions tailored to meet your specific learning needs in bioinformatics and related fields
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Utilize advanced computational techniques to predict the preferred orientation of one molecule to another when bound to form a stable complex
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Explore the evolutionary relationships among various biological species or entities. Our phylogenetic analysis service uses sequence data
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Streamline your data collection process with our custom data retrieval pipelines. We design and implement automated
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Detect genetic variants such as SNPs and indels from sequencing data using our robust variant calling pipeline using linux
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Analyze next-generation sequencing (NGS) data with our specialized pipelines for ChIP-seq and RNA-seq experiments
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Focused specifically on ChIP-seq data, this service provides comprehensive analysis from raw data to meaningful biological insights
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Construct accurate and complete genome assemblies from short and long-read sequencing data
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Process and analyze microarray data with our integrated response (R) pipeline. We offer normalization, differential expression analysis, and pathway enrichment analysis.
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Predict the three-dimensional structure of proteins from their amino acid sequences. Our protein structure prediction service uses advanced modeling techniques to provide accurate and reliable structural information
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Build 3D models of protein structures based on homologous sequences. Our homology modeling service helps in understanding protein function and designing experiments for structure-based drug design
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Develop custom Python applications tailored to your bioinformatics needs. We offer full-cycle development services, including design, coding, testing, and deployment of efficient and user-friendly software solution
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Leverage bioinformatics tools and techniques to advance your plant research. Our services include genomic, transcriptomic, and proteomic analysis to support plant breeding, genetic engineering, and functional studies
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Comprehensive pipeline for cancer research, from data acquisition and preprocessing to advanced bioinformatics analysis and interpretation
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Leveraging machine learning techniques for predictive modeling and data analysis in bioinformatics research
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Comprehensive analysis of bulk RNA sequencing data to explore gene expression profiles
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Contact us for High-resolution analysis of chromatin accessibility at the single-cell level
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Contact us for ATAC Single cell High-resolution analysis of chromatin accessibility
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Mapping gene expression data to tissue architecture for spatial context in biological research
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Applying generative AI models to create synthetic biological data for research and analysis
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Analyzing circulating tumor DNA for cancer detection and monitoring in clinical research
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Utilizing AI technologies to solve complex problems in bioinformatics and healthcare
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Statistical methods and models applied to biological and medical research data
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Advanced statistical techniques for rigorous data analysis and interpretation
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Computational methods to design and optimize new therapeutic compounds
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Handling and analyzing large-scale datasets to extract meaningful insights
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Integrating data science techniques to analyze and interpret complex biological data
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Initial data analysis to summarize main characteristics and discover patterns
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Studying interactions within biological systems through computational and experimental approaches
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Investigating gene expression levels to understand biological processes and diseases
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Applying analytical techniques to process and interpret diverse biological datasets
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Utilizing Python for robust and flexible data analysis in bioinformatics
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Using R programming for statistical computing and graphics in bioinformatics
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Building custom web applications and tools for bioinformatics and data visualization
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Managing, processing, and analyzing large-scale datasets to extract valuable insights and drive scientific discovery
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Efficient data processing and analysis using command line tools in bioinformatics
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Investigating interactions between proteins to understand cellular functions and mechanisms
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Comprehensive examination of entire genome sequences to identify genetic variations and insights
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Targeted analysis of exonic regions to detect genetic mutations related to diseases
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Studying microbial communities and their roles in various environments and health conditions
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Identifying and analyzing resistance genes to understand and combat antimicrobial resistance
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Professional documentation of scientific research, including reports and summaries
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Crafting detailed research articles for publication in scientific journals
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Comprehensive writing support for academic theses, ensuring clarity and coherence
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Weighted Gene Co-expression Network Analysis to explore gene expression patterns
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Grouping data points based on similarities to identify patterns and relationships in datasets
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Identifying genes with significant changes in expression under different conditions
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Creating interactive web applications for data visualization and analysis using R Shiny
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Designing and implementing custom data analysis pipelines on Linux systems
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Developing reproducible and scalable workflows using Snakemake and Nextflow
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Containerizing applications for consistent and portable bioinformatics workflows
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Utilizing AWS for scalable and efficient cloud-based bioinformatics solutions
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