Tweet
We have a eukaryotic diploid genome assembled and scaffolded using ALLPATHS-LG. In addition, we have a linkage map generated from iso-crossing individuals and performing reduced-representation (GBS) sequencing. We have evidence from the linkage map that can place and order our scaffolds, or at times nest a scaffold within a scaffold gap of a larger scaffold, but it would be a lot of work to manual review these joins and investigate mate-pair evidence across the entire genome. I was wondering if there was any existing pipelines or software programs that generate superscaffolded assemblies based off of a mix of linkage map information and mate-pair information. I have seen several papers, but their methods are either not clearly described, or are very manual in nature, but it is likely I could be missing something.
-
Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
...07-09-2026, 11:10 AM -
Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.
There is no single reason why many patients don’t respond to treatment as expected. Cancer is...07-08-2026, 05:17 AM -
Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.07-01-2026, 11:43 AM