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I've just finished my first shot at assembling a metagenome sample derived from a marine environment using Velvet, VelvetOptimizer and Metavelvet. Running the assembly with the recommendations from VelvetOptimizer (kmer size of 31), I was getting very short contigs ~100-400 bp. Increasing the kmer size beyond this to 37 resulted in longer contigs 100-3K. When I started analyzing the coverage and reads for several contigs, I noticed that some short contigs i.e. 90bp had about 10K reads and a coverage of 20X for example. Some of the longer contigs 1K or 2K had less reads (200) and lower coverage. My question is if there are certain steps I can take now to filter out contigs that might not be useful in the annotation step for example, or that could be chimeric? I'm not sure how to further proceed. Before I try using a different assembler I'd like to understand how these results could be further analyzed before proceeding to the annotation step.
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This year’s Advances in Genome Biology and Technology (AGBT) General Meeting commemorated the 25th anniversary of the event at its original venue on Marco Island, Florida. While this year’s event didn’t include high-profile musical performances, the industry announcements and cutting-edge research still drew the attention of leading scientists.
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The biggest announcement was Roche stepping back into the sequencing platform market. In the years since...03-03-2025, 01:39 PM -
The human gut contains trillions of microorganisms that impact digestion, immune functions, and overall health1. Despite major breakthroughs, we’re only beginning to understand the full extent of the microbiome’s influence on health and disease. Advances in next-generation sequencing and spatial biology have opened new windows into this complex environment, yet many questions remain. This article highlights two recent studies exploring how diet influences microbial...02-24-2025, 06:31 AM
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