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Thesis

Ensemble and consurf

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I'm offering my expertise in bioinformatics through two comprehensive documents: ConSurf and Ensemble analysis. These documents showcase my thesis work, providing a detailed guide on how to perform these analyses. You'll get a step-by-step guide on protein conservation analysis and a detailed walkthrough of ensemble-based methods in bioinformatics, along with my original research and findings. This is perfect for bioinformatics students and researchers, scientists looking to expand their skillset, or anyone interested in protein analysis and computational biology. By purchasing these documents, you'll gain insights into protein conservation and ensemble analysis, learn from my research, and save time and effort with these ready-to-use documents.

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What is Ensembl?

Ensembl is a comprehensive genome database project that provides
annotated genomic data for various species. It is jointly maintained by the
European Bioinformatics Institute (EBI) and the Wellcome Sanger Institute.
Ensembl serves as a critical resource for genomics research, offering tools to
visualize, analyze, and download genomic information.




Key Features of Ensembl

1. Genome Browser:

- Interactive visualization of genomes, genes, transcripts, regulatory
regions, and more.

- Supports comparative genomics across species.

2. Gene Annotation:

- Detailed gene models, including protein-coding genes, non-coding RNAs,
and splice variants.

3. Genetic Variation Data:

- Catalog of SNPs, indels, CNVs, and structural variants.

- Links to phenotype associations (e.g., GWAS data).

4. Comparative Genomics:

- Orthologs, paralogs, and conserved regions across species.

5. Tools & APIs:

- VEP (Variant Effect Predictor): Predicts functional consequences of genetic
variants.

- Bio Mart: Batch data extraction (e.g., gene lists, sequences).

- BLAST/BLAT: Sequence alignment tools.

- REST API: Programmatic access to Ensembl data.

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Uploaded on
June 14, 2025
Number of pages
3
Written in
2024/2025
Type
THESIS
Supervisor(s)
Farzana khan
Year
Unknown

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