Author Archives: serghei

Gene annotations for antibody genes

We use gene annotations (Ensembl GRCh37) to extract antibody genes. We extracted gene annotationsof BCR and TCR loci: constant genes (labeled as IG_C_gene, Ensembl GRCh37)  variable genes (labeled as IG_V_gene, Ensembl GRCh37) diversity genes (labeled as IG_D_gene, Ensembl GRCh37) joining genes (labeled … Continue reading

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We released ROP, a protocol to explore unmapped reads

We released ROP : read origin protocol! ROP is a computational protocol aimed to discover the source of all (98.8%) reads, originated from complex RNA molecules, recombinant antibodies and microbial communities.   ROP profiles repeats, circRNAs, gene fusions, trans-splicing events, recombined B and T … Continue reading

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Human Microbiome Analysis: Computational techniques and challenges

Presented at BC2 Basel Computational Biology Conference, June 2015 Microbial communities in and on the human body represent a complex mixture of microbial eukaryotes bacteria, viruses and archaea containing in total more than ten times the number of genes found … Continue reading

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Viral Population Analysis: Detection of Rare Variants and Full-length Genomes from Next-generation Sequencing Data

Presented at the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), November 2014  http://scm.ulster.ac.uk/bibm2014/tutorials.html  

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CSC 7350 – Programing for Bioinformatics

About the course: The object of this course is to introduce a high-level programming language and basic data structures with a structured approach to problem solving, algorithmic analysis and program development with emphasis on bioinformatics applications. Each student is required … Continue reading

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CSC 2310 – Principles of Computer Programming

CSC 2310 – Principles of Computer Programming

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Curriculum Vitae

Serghei Mangul_CV

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About

Serghei Mangul is a postdoctoral fellow at Institute for Quantitative & Computational Biosciences, University of California, Los Angeles working with Professor Eleazar Eskin and Mateo Pellegrini. He is affiliated with Department of Computer Science and Human Genetics. His research focuses on developing techniques for solving the … Continue reading

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