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**************Genomics & Informatics Lab (GIL) ***************** **************Your Trusted Partner in Advanced Bioinformatics & AI-Driven Multi-Omics****** I lead a distinguished team at Genomics & Informatics Lab (GIL), specializing in Biotechnology, Bioinformatics, Computational Biology, and AI-powered Multi-Omics. At GIL, we offer a comprehensive suite of cutting-edge services tailored to meet the evolving demands of genomics, transcriptomics, proteomics, metagenomics, pharmacogenomics, and precision medicine. Our Expertise: AI-Powered Bioinformatics & Multi-Omics Data Analysis 🔬 1. Bioinformatics & Genomics: AI/ML-powered Next-Generation Sequencing (NGS) data analysis Comparative & Population Genomics for evolutionary insights Genetic variant detection & annotation Functional Genomics (Gene Ontology, KEGG Pathway analysis) Phylogenetics & Evolutionary Genomics miRNA structure prediction & target analysis 🧬 2. AI-Driven Transcriptomics & Epigenomics: RNA-Seq & Single-Cell Transcriptomics Differential Expression & Alternative Splicing Analysis Epigenomics: DNA Methylation & Histone Modification Analysis 💊 3. Computational Pharmacogenomics & Precision Medicine: AI-assisted drug-gene interaction prediction Pharmacogenomic modeling for personalized medicine Toxicogenomics & Drug Response Prediction 🦠 4. Metagenomics & Microbiome Data Science: Whole-genome & 16S rRNA sequencing-based microbiome analysis Microbiome-host interaction modeling AI-powered taxonomic & functional profiling ⚛ 5. AI in Structural & Systems Biology: Protein-Protein Interaction Analysis & Docking Molecular Dynamics (MD) & Simulation Studies AI-driven protein structure prediction (AlphaFold, Rosetta, etc.) 🤖 6. AI & Machine Learning in Multi-Omics Integration: Deep learning for biomarker discovery Multi-omics data integration (Genomics, Proteomics, Metabolomics, Epigenomics) Network-based systems biology approaches 🚀 State-of-the-Art Computing Infrastructure GIL is equipped with high-performance computing (HPC) clusters, multi-core processing, and cloud-based analytics, ensuring scalable, fast, and accurate bioinformatics solutions. 💡 Why Choose GIL? ✅ Expert Team: Decades of experience in computational biology & AI ✅ Cutting-Edge Technologies: AI, ML, and HPC-powered analytics ✅ Proven Track Record: Successful projects in academia & industry ✅ Custom Solutions: Tailored pipelines for diverse research needs Let GIL be your trusted partner in advancing your research! Contact us today to explore how we can support your next breakthrough in computational biology and AI-driven bioinformatics. 🔍💻🧬

Experienced Microbiologist | Research & Lab Specialist | Medical & Scientific Writer | Online Tutor As a published researcher and dedicated educator, I help clients and students achieve their academic and professional goals through high-quality research, scientific writing, and personalized tutoring. My expertise spans biology, microbiology, molecular biology, genetics, biotechnology, environmental science, health sciences, and related STEM disciplines. I provide comprehensive support in literature reviews, research articles, scientific manuscripts, academic editing, reference management, and evidence-based content writing. I am committed to delivering accurate, well-structured, and publication-ready work tailored to client requirements. Beyond research and writing, I specialize in transforming complex scientific concepts into engaging, understandable, and relatable lessons. Whether it's genetics, molecular biology, microbiology, biotechnology, or other life science subjects, I break down challenging topics into clear explanations using interactive learning techniques, real-world examples, and visual approaches that promote deeper understanding and long-term retention. My tutoring approach focuses on building confidence, strengthening critical thinking, and helping students excel academically through personalized guidance and active learning. Whether you need research support, scientific content, academic mentoring, or STEM tutoring, I am committed to delivering professional, reliable, and results-driven services. Let's work together to turn complex ideas into meaningful learning and successful outcomes and discuss how I can support your project or academic journey!

Biotechnologist | Research Writer | Bioinformatics Support | Science Communicator I'm Aneesa Zeb Awan, a biotechnologist with a strong interest in microbiology and academic writing. I offer to help students and researchers with research writing, bioinformatics tasks, and biology exam preparation, blending scientific understanding with clear, structured communication. Through my YouTube channel @Aneesology, I create educational content tailored to biology students at all levels, especially those preparing for exams like Matric, Fsc, MDCAT, CSS, and PMS. I also assist with tasks like literature reviews, data interpretation, and basic genome analysis using tools such as Geneious, MEGA, and R- Studio. Moreover, I am; Offering support in research design, editing, and scientific communication Assisting with bioinformatics workflows and microbial data analysis Providing mentorship and exam guidance in biology Open to collaborations, academic support, and opportunities.

As a Microbiologist and a researcher having 1.5+ years experience of working in a Bioinformatics Lab. I can offer you: 🔬 Molecular Docking Analysis AutoDock Vina, PyRx, Chimera, MGLTools, Discovery Studio Visualizer, pymol, CBdock2, Swissdock 🧬 Subtractive and Comparative Genomics Software: BLAST+, OrthoFinder, Roary, Mauve, RAST, EggNOG, KEGG, PATRIC, DEG, EDGAR, venny bioinfo 🧪 Enzyme Engineering Modeller, SwissModel, AlphaFold, PyMOL, ChimeraX, Discovery Studio, I-Mutant, CASTp 📊 Data Science & GEO, Microarray Data Analysis R (limma, GEOquery, clusterProfiler), Bioconductor, GEO2R, Python (pandas, matplotlib) 🎨 Molecular Visualization PyMOL, Chimera, ChimeraX, Discovery Studio Visualizer 💻 Virtual Screening AutoDock Vina, PyRx, SwissADME, Open Babel, ChemSketch, ZINC15, PubChem, Molview 📊 Linux-based Bioinformatic Services BASH scripting, Conda, FastQC, SAMtools, Entrez Direct (EDirect), MAFFT, TrimAl 📊Scientific and Biological Illustration Adobe Illustrator Canva Figma PowerPoint 📚 Literature Review Tools: Zotero, EndNote, Research Rabbit, Google Scholar, PubMed, Connected Papers ✍️ Medical Writing Grammarly, Typeset, PubMed, SciSpace, AI content validation tools (ChatGPT, Perplexity AI) 📝 Research Write-up Tools: MS Word, LaTeX, Zotero, EndNote 📚 Review Article Write-up Tools: PubMed, Google Scholar, ResearchGate, Zotero, Grammarly, Typeset, EndNote 📊 Interactive Excel Dashboards Software: Microsoft Excel (Power Query, Power Pivot, XLOOKUP, Pivot Tables), and, 📊SDS Desitometry Analysis ImageJ Excel Adobe Illustrator I am also a passionate online tutor with a conceptual teaching style. I can create impactful presentations, and have video editing and youtube experience. I am also skilled in Urdu-English translation and proficient with Endnote and Zotero for research and referencing. I can make Interactive excel Dashboards also on the data you provide me. So, feel free to contact me and I will find and discuss solutions for your problems. Thanks!

COPYBioinformatics expert and bioinformatician for RNA-seq analysis, gene expression analysis, differential gene expression (DEG) analysis, GEO dataset reanalysis, TCGA analysis, pathway analysis, biomarker discovery, molecular docking, and ADMET analysis. Top Rated bioinformatician, 100% Job Success, 24 five-star reviews. I do bioinformatics. Send me your RNA-seq data, count matrix, GEO accession, TCGA cohort, or protein target. I deliver differential expression results, gene expression analysis, pathway enrichment, survival analysis, biomarker analysis, molecular docking results, ADMET predictions, and publication-ready figures. BIOINFORMATICS SERVICES I DELIVER: RNA-seq analysis and RNA-seq differential gene expression: RNA-seq QC, RNA-seq normalization, RNA-seq differential expression analysis with DESeq2, edgeR, and limma. RNA-seq volcano plots, RNA-seq heatmaps, RNA-seq PCA plots. Bulk RNA-seq analysis and scRNA-seq analysis. scRNA-seq clustering with Seurat, scRNA-seq cell-type annotation, scRNA-seq UMAP, scRNA-seq marker genes. RNA-seq gene expression profiling, RNA-seq count matrix analysis, RNA-seq results interpretation. Gene expression analysis and DEG analysis: Differential gene expression analysis, gene expression profiling, gene expression comparison across conditions, gene expression visualization, gene expression heatmaps, gene expression volcano plots, gene expression boxplots. DEG analysis from RNA-seq, DEG analysis from microarray, DEG analysis from GEO datasets, DEG analysis from TCGA datasets. DEG list generation, DEG filtering, DEG annotation, DEG results tables. Gene expression normalization, gene expression batch correction, gene expression quality control. GEO dataset analysis and GEO reanalysis: GEO microarray reanalysis, GEO RNA-seq reanalysis. Give me any GEO accession (GSE number), I reanalyse the GEO dataset and deliver differential gene expression, gene expression results, enrichment analysis, and figures. GEO dataset download, GEO normalization, GEO differential expression, GEO DEG analysis. GEO dataset mining, GEO data extraction. TCGA analysis and TCGA reanalysis: TCGA gene expression analysis, TCGA differential expression, TCGA tumor vs normal analysis, TCGA survival analysis, TCGA Kaplan-Meier curves, TCGA Cox regression, TCGA biomarker validation. TCGA RNA-seq analysis, TCGA DEG analysis. Any TCGA project: TCGA-BRCA, TCGA-LUAD, TCGA-LIHC, TCGA-KIRC, TCGA-COAD, TCGA-PRAD. Pathway analysis and functional enrichment: GO pathway analysis, KEGG pathway analysis, Reactome pathway analysis, GSEA gene set enrichment analysis, KEGG pathway maps with pathview, GO biological process enrichment, GO molecular function enrichment, GO cellular component enrichment. Pathway analysis from RNA-seq DEGs, pathway analysis from GEO DEGs, pathway analysis from TCGA DEGs. Pathway enrichment dotplots, pathway enrichment bar charts, pathway enrichment network plots. Biomarker discovery and biomarker validation: Cancer biomarker discovery, biomarker candidate ranking, biomarker ROC analysis, biomarker AUC evaluation, multi-dataset biomarker validation, biomarker meta-analysis, biomarker survival analysis, biomarker forest plots. LASSO biomarker selection, Elastic Net biomarker modeling. Biomarker gene expression analysis, biomarker differential expression. Molecular docking and drug target analysis: Molecular docking, protein-ligand docking, molecular docking simulations, molecular docking binding energy analysis, molecular docking pose visualization. AutoDock molecular docking, AutoDock Vina molecular docking, PyRx molecular docking. Molecular docking for drug discovery, molecular docking for lead identification, molecular docking binding affinity prediction. Virtual screening, structure-based drug design, protein-ligand interaction analysis, docking score ranking, binding site prediction. ADMET analysis and drug-likeness prediction: ADMET analysis, ADMET prediction, ADMET profiling for drug candidates. ADMET absorption prediction, ADMET distribution analysis, ADMET metabolism prediction, ADMET excretion analysis, ADMET toxicity prediction. Drug-likeness analysis, Lipinski rule of five, pharmacokinetics prediction, SwissADME analysis, pkCSM ADMET prediction. ADMET screening for virtual hits, ADMET filtering after molecular docking. Survival analysis: Kaplan-Meier survival analysis, Cox proportional hazards, survival curves, survival modeling, overall survival analysis, disease-free survival analysis, gene expression survival analysis. Bioinformatics for manuscripts and publications: Publication-ready bioinformatics figures, bioinformatics methods section, bioinformatics results interpretation, bioinformatics report for thesis, bioinformatics analysis for research papers, bioinformatics figures for journal submission. TOOLS: R, Python, Bioconductor, DESeq2, edgeR, limma, Seurat, clusterProfiler, GEOquery, TCGAbiolinks, ReactomePA, enrichplot, pROC, glmnet, survival, survminer, ph

I’m a biotechnology graduate with a passion for genetics, molecular biology, and bioinformatics, and practical experience in scientific research and writing. I work with complex scientific material and help turn it into clear, accurate, and well-organised content, depending on what the client needs. I focus on solid research, attention to detail, and making the writing easy to follow. What I can help you with ✔️ Scientific research and content writing ✔️ Academic, journal, and article writing ✔️ Editing and proofreading ✔️ Rewriting for clarity, flow, and readability Awards 🥇Gold Medalist for achieving straight A’s I value accuracy, clear communication, and timely delivery. If you’re looking for someone who understands the science and can write it properly without oversimplifying or exaggerating, I’d be happy to work with you.