![](https://dblp.uni-trier.de./img/logo.320x120.png)
![search dblp search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
default search action
"Quill: A Memory Efficient k-mer Counting and k-mer Querying Tool for ..."
Budvin Edippuliarachchi et al. (2022)
- Budvin Edippuliarachchi, Damika Gamlath, Ruchin Amaratunga, Gunavaran Brihadiswaran, Sanath Jayasena:
Quill: A Memory Efficient k-mer Counting and k-mer Querying Tool for Commodity Clusters. ICBBT 2022: 79-88
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.