Category Archives: bioinformatics

There are more microbes than meet the eye: exploring the genomic diversity in an aquifer

First: it’s Tuesday, November 8th, 2016 – before you even think about putting your feet up and reading this post, I hope you’ve managed to wrangle yourself one of those highly prized “I voted” stickers. Now, on to more microbial … Continue reading

Posted in bioinformatics, community ecology, metagenomics, microbiology, next generation sequencing | Tagged , , | 1 Comment

Making ecology “count”: a review of the why and how of molecular ecology  

It’s likely that everyone has been asked by either a friend or family member “What do you do?” Which, depending on what level of detail you shoot for, might be relatively straight forward. The follow-up question, however, can be a … Continue reading

Posted in bioinformatics, community, community ecology, metagenomics | Tagged , , , | 1 Comment

When your programming may be inadequate to the task: new options for metagenome analysis

There’s a lot of data in the form of metagenomes out there, and picking apart those mountains of data to uncover meaningful results is difficult. Recently, we received a suggestion from a reader to discuss a recent program (CLARK-S) developed … Continue reading

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Is equilibrium out of reach or are there some sneaky bouts of sex?

Reproductive systems impact the evolution of genetic diversity at the population level. Yet, we don’t know a lot about organisms that are partially clonal, despite the large component of biodiversity that dabbles in asexual reproduction to varying degrees. Clonal dynamics are … Continue reading

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The trouble with PCR duplicates

The sequencing center just sent your lane of Illumina data. You’re excited. Life is great. You begin to process the data. You align the data. You check for PCR duplicates. 50 percent. Half of your data is garbage. Everything is … Continue reading

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On (mis)interpreting STRUCTURE/ADMIXTURE results

STRUCTURE, ADMIXTURE and other similar software are among the most cited programs in modern population genomics. They are algorithms that estimate allele frequencies and admixture proportions under the premise that sampled genotypes are derived from one of “K” ancestral populations, … Continue reading

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Understanding diverse microbial communities: An interview with A. Murat Eren (Meren)

It’s clear that microbes play a crucial role in practically every aspect of ecosystems globally. From the deepest, most remote and unexplored regions of the ocean, to the human oral cavity, there are diverse microbial assemblages driving Earth’s biogeochemical cycles. … Continue reading

Posted in bioinformatics, community ecology, metagenomics, methods | Tagged , , , | 3 Comments