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Great! to see you here. I am Fredrick Kebaso, a biological data science enthusiast and a junior Bioinformatician at the International Centre of Insect Physiology and Ecology (ICIPE). I am keen in application of Bioinformatics, machine learning and deep learning in Genomic data analysis. Currently, I am working on De novo genome assembly and annotation of chemosensory gene annotation of three hippoboscu species.

Fredrick Kebaso's Projects

16s-int-bt icon 16s-int-bt

16S Intermediate Bioinformatics training manuals

16s_accreditation icon 16s_accreditation

Repo Containing the Scripts, results, and report from the Accreditation Exercise by icipe H3ABioNet node.

bigbookofr icon bigbookofr

The biggest collection of R books (and maybe later some other resources too)

bitacora icon bitacora

BITACORA: A Bioinformatics tool for gene family annotation

catfish-genome icon catfish-genome

Pipelines, code and ressources for creating a fully haplotype-resolved T2T assembly of the African catfish (Clarias gariepinus) combining PacBio HiFi, ONT long reads and Hi-C data.

cegma_v2 icon cegma_v2

The final version 2 release of our software to detect core genes in eukaryotic genomes

cv-template icon cv-template

An easy way to create HTML and PDF versions of your resume, and automatically host them on GitHub Pages.

de_novo_genome_statistics icon de_novo_genome_statistics

No consensus as of yet has been reached for which genome assembler is 'the' best. As a matter of fact, there probably isn't, with different assemblers performing better for specific data sets or objectives. Here I perform de novo assemblies using multiple algorithms as well as reference based assembly of two Anolis distichus females, and compare th

genomegtftools icon genomegtftools

convert various features into a GFF-like file for use in genome browsers

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