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Bioinformatics and Genome Evolution Lab | Dr. David Alvarez-Ponce

UNDERSTANDING GENES' MOLECULAR EVOLUTION The fast accumulation of genomic data, combined with the development of bioinformatics techniques, allows to study gene and protein evolution at an unprecedented scale. During evolution, genes and proteins undergo sequence and copy-number modification. Patterns of genetic variability contain information about several aspects of genes' and organisms' evolution, such as the relationships…

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UNDERSTANDING GENES' MOLECULAR EVOLUTION The fast accumulation of genomic data, combined with the development of bioinformatics techniques, allows to study gene and protein evolution at an unprecedented scale. During evolution, genes and proteins undergo sequence and copy-number modification. Patterns of genetic variability contain information about several aspects of genes' and organisms' evolution, such as the relationships…
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Bioinformatics and Genome Evolution Lab | Dr. David Alvarez-Ponce | genomeevol.wordpress.com Reviews

https://genomeevol.wordpress.com

UNDERSTANDING GENES' MOLECULAR EVOLUTION The fast accumulation of genomic data, combined with the development of bioinformatics techniques, allows to study gene and protein evolution at an unprecedented scale. During evolution, genes and proteins undergo sequence and copy-number modification. Patterns of genetic variability contain information about several aspects of genes' and organisms' evolution, such as the relationships…

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People | Bioinformatics and Genome Evolution Lab

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Bioinformatics and Genome Evolution Lab. David Alvarez-Ponce, PhD. Felix Feyertag, PhD. Sandip Chakraborty, PhD. Visiting Ph.D. student. Visiting Ph.D. student. Denise Julian: Spring 2015. Andrew Miller: October 2015-March 2016. Taylen Nappi: March 2015-May 2016. Bioinformatics and Genome Evolution Lab. Blog at WordPress.com.

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Publications | Bioinformatics and Genome Evolution Lab

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Bioinformatics and Genome Evolution Lab. Google Scholar profile here. 2017 Recording negative results of protein protein interaction assays: an easy way to deal with the biases and errors of interactomic datasets. Briefings in Bioinformatics. Beatriz Sabater-Muñoz, Christina Toft, Mario X. Ruiz-González, Mario A. Fares. 2016. Essentiality is a strong determinant of protein rates of evolution during mutation accumulation experiments in Escherichia coli. Genome Biology and Evolution. 8(9):2914 2927 [ link.

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Gallery | Bioinformatics and Genome Evolution Lab

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Bioinformatics and Genome Evolution Lab. Felix giving a talk at “Mechanisms of Protein Evolution 2015”, in Denver. Mario Fares and David Alvarez-Ponce chairing a symposium on Network Evolution at the conference of the Society for Molecular Biology and Evolution 2015, in Vienna. David and Felix at the SMBE conference 2015 in Vienna. David participates on a panel discussion on Big Data at UNR. David talks at SMBE 2012. Celebrating a new paper. David receives a prize for his poster at SMBE 2008.

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