Apicomplexan Parasites, Pathogen Genome Informatics, and the Evolution of Eukaryotic Organelles: Part 3C: Designing and mining pathogen genome databases: From genes to drugs and vaccines (25:45)

submitted by: video_collector
With the emergence of genomic-scale datasets representing all of the genes in the genome, all of the proteins in a cell or tissue, and all of the interactions and signals in an organism, biologists are increasingly faced with the challenge of how to store, integrate, and interrogate this information. How can we effectively mine large-scale datasets to expedite biological discovery, for example in the identification of new targets for anti-parasitic drug and vaccine design? Computational...

Apicomplexan Parasites, Pathogen Genome Informatics, and the Evolution of Eukaryotic Organelles: Part 3B: Designing and mining pathogen genome databases: From genes to drugs and vaccines (27:10)

submitted by: video_collector
With the emergence of genomic-scale datasets representing all of the genes in the genome, all of the proteins in a cell or tissue, and all of the interactions and signals in an organism, biologists are increasingly faced with the challenge of how to store, integrate, and interrogate this information. How can we effectively mine large-scale datasets to expedite biological discovery, for example in the identification of new targets for anti-parasitic drug and vaccine design? Computational...

Apicomplexan Parasites, Pathogen Genome Informatics, and the Evolution of Eukaryotic Organelles: Part 3A: Designing and mining pathogen genome databases: From genes to drugs and vaccines (20:04)

submitted by: video_collector
With the emergence of genomic-scale datasets representing all of the genes in the genome, all of the proteins in a cell or tissue, and all of the interactions and signals in an organism, biologists are increasingly faced with the challenge of how to store, integrate, and interrogate this information. How can we effectively mine large-scale datasets to expedite biological discovery, for example in the identification of new targets for anti-parasitic drug and vaccine design? Computational...

A Model of Genetic Variation in Human Social Network

submitted by: dougramsey
Social networks influence the evolution of cooperation and they exhibit strikingly systematic patterns across a wide range of human contexts. Both of these facts suggest that variation in the topological attributes of human social networks might have a genetic basis. While genetic variation accounts for a significant portion of the variation in many complex social behaviors, the heritability of egocentric social network attributes is unknown. Here we show that three of these attributes...

Computational Lab - Prof. Cristian Coarfa (2009)

submitted by: ralanharris

An introduction to computational methods for analyzing ChIP-Seq data by Cristian Coarfa. This was presented as a lab within the Computer Aided Discovery Methods course offered within the Graduate Program at Baylor College of Medicine.

The Importance of Marine Picoeukaryotes and the Search for Lost Time

submitted by: dougramsey
Unicellular eukaryotes are responsible for a massive amount of photosynthetic carbon fixation in marine systems. The smallest among these fall within the “pico” size fraction (<2 micrometers in diameter), are broadly distributed – from coastal to open-ocean environments – and are highly diverse. Picoeukaryotes contribute a significant proportion of the biomass and primary production within this size fraction, often rivaling their cyanobacterial counterparts Prochlorococcus and...

Deep-Ocean Metagenomics: Comparative Investigations of Microbes Inhabiting Hydrothermal Vents and the Cold Deep Ocean

submitted by: dougramsey
The deep-ocean accounts for the majority of the water on our planet. While the cold deep-ocean is the dominant nutrient-challenged ecosystem, hydrothermal vents represent oases along tectonically active areas of the seafloor. Hydrothermal vents and the surrounding cold deep-ocean each support unique communities of microbes and viruses that have become highly adapted to local conditions. Through cycles of infection and host cell lysis, bacteriophages (viruses that specifically infect...

Metaproteomics as a key technology for characterizing the human microbiome Nathan C. VerBerkmoes, Oak Ridge National Labs

submitted by: dougramsey
The human microbiome is a complex system of many microbial communities inhabiting a diversity of environmental niches throughout the human body. With at least an order of magnitude more cells and even greater diversity of genetic potential these microbial communities continually interact with the human host cells in complex but controlled manner that lead to normal human health. Our knowledge of the structure and function of these communities and the interactions with the human host is...

Targeted Gene Identification from Short Gene Fragments in Metagenome and their Use in Biogeochemical Studies

submitted by: dougramsey
Metagenomics allows for a new approach to studying biogeochemical processes in an environment, by giving an approximation of a community’s biogeochemical potential through the genes involved in a given process. Lipid biomarkers are well suited to this kind of approach because they are important for a number of biogeochemical questions and some have well studied biosynthetic pathways. One important class of lipid biomarkers, triterpenoids, were investigated in a new metagenomic sample that...

Array CGH Computational Lab - Chris Miller

submitted by: ralanharris

An introduction to computational methods for analyzing Array Comparative Genomic Hybridization data by Chris Miller. This was presented as a lab within the Computer Aided Discovery Methods course offered within the Graduate Program at Baylor College of Medicine.