I think i used to use 4.2.2. But i don't have the archive to install it (i didn't install it on our cluster).
-
-
Hi,
I just want to reiterate how crazy double encoding is! Thought we were having problems with our aligner as the 'reads' weren't mapping to the reference. Why on earth did ABI pick those 4 letters? Why even double encode in the first place?!
Thanks Rick!Comment
-
i hope people realize converting to fastq is probably one of the worst ways to analyze cs data.Comment
-
SeqAA, could you describe your workflow?Comment
-
SeqAA - agree.
People, if you want to analyse Solid data properly use colour space. If you're forced into the dark arts of base space conversion i.e. for de novo assembly I would strongly recommend reading the supplements of this paper:
Iverson et al. 2012, Science : Untangling genomes from metagenomes ....Comment
-
I generally use galaxy to do most of my conversionsComment
-
CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...07-31-2026, 11:01 AM -
Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
The systematic characterization of the human proteome has...07-20-2026, 11:48 AM -
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
Comment