Google Analytics has a page that allows us to rank the posts by the click-through rate (CTR). This is a measure of the rate at which a user clicks on a link if it is presented in a search result. Note that this ranking corresponds to the entire content on the page, not just the question.
Here is the current top 10 with CTR ranges from 87% to 72%:
- Does bedops have a command similar to the bedtools makewindows?
- Statistical comparison between position-specific scoring matrices
- Public SPARQL end points for PubMed?
- Levenshtein distance vs smith-waterman algorithm
- eQTL analysis in Plink
- difference between blastall and blastn?
- UCSC Genome Browser automation: command line scripting.
- seed and extend algorithm
- Cell segmentation and quantification of immunofluorescence in Python
- Nobel Prize and Bioinformatics
Also here is the top ten of the most popular pages on Biostar. These are pages that come up most often in searches:
- forward and reverse strand conventions
- tools to calculate average coverage for a bam file?
- Gene ID conversion tool
- Where can I download human reference genome in fasta format? hgref.fa file
- What is the difference between sequencing depth and coverage
- Economics of a career in bioinformatics
- How to calculate FPKM (fragments per kilobase of exon per million fragments mapped)
- What is the sequencing 'depth' ?
- How do I draw a heatmap in R with both a color key and multiple color side bars?
- How to efficiently parse a huge fastq file?
Disclaimer: These lists are not an endorsement or serious attempt to quantify relevance - use them just as an amusing diversion to look at