From 075377f99c7000ff37130c390916c8466fb13ec2 Mon Sep 17 00:00:00 2001 From: Mitja Felicijan Date: Sun, 11 Feb 2024 22:47:21 +0100 Subject: K-mer additional materials --- _posts/2024-02-11-k-mer.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) (limited to '_posts') diff --git a/_posts/2024-02-11-k-mer.md b/_posts/2024-02-11-k-mer.md index f8f6e17..1f7d288 100644 --- a/_posts/2024-02-11-k-mer.md +++ b/_posts/2024-02-11-k-mer.md @@ -124,3 +124,16 @@ optimized for efficiency and scalability. Now that we have the basics out of the way we can start implementing basic k-mer counter in C. + + +## Additional reading material + +- [2101.08385](https://arxiv.org/pdf/2101.08385.pdf) - Motif Identification using CNN-based Pairwise +- [2112.15107](https://arxiv.org/pdf/2112.15107.pdf) - Probabilistic Models of k-mer Frequencies +- [2205.13915](https://arxiv.org/pdf/2205.13915.pdf) - DiMA: Sequence Diversity Dynamics Analyser for Viruses +- [2209.09242](https://arxiv.org/pdf/2209.09242.pdf) - Computing Phylo-k-mers +- [2305.07545](https://arxiv.org/pdf/2305.07545.pdf) - KmerCo: A lightweight K-mer counting technique with a tiny memory footprint +- [2308.01920](https://arxiv.org/pdf/2308.01920.pdf) - Sequence-Based Nanobody-Antigen Binding +- [2310.10321](https://arxiv.org/pdf/2310.10321.pdf) - Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification +- [2312.03865](https://arxiv.org/pdf/2312.03865.pdf) - Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs +- [2401.14025](https://arxiv.org/pdf/2401.14025.pdf) - DNA Sequence Classification with Compressors -- cgit v1.2.3