Category Archives: bioinformatics

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

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What do dolphins, bivalves and algae have in common?

Collaboration as it turns out, between three scientists interested in vertebrates, invertebrates and algae! A few days before we left for Evolution 2016 in Austin, one of my collaborators, Eric Pante, came to Charleston as the final stop in a North American … Continue reading

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STITCH, in time, could save a lot of array design

A new algorithm for processing DNA sequence data, STITCH, could lower costs for studies of genetic variation within species by reconstructing, or “imputing”, the sequences of individual samples within a larger dataset. The ongoing proliferation of high-throughput (or, ugh, “next … Continue reading

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