Afann (Alignment-Free methods Adjusted by Neural Network) is an alignment-free software that supports fast calculation of different dissimilarity measures including d2star, d2shepp, CVtree, Manhattan, Euclidean and d2. It also adjusts the bias of d2star and d2shepp calculated from sequencing samples.

2019年12月4日 · Afann is a fast tool to calculate background-adjusted alignment-free dissimilarity measures CVTree, d 2 ∗, and d 2 s between genome sequences and NGS samples. In addition, it can adjust the biases caused by NGS samples of different sequencing depths for d 2 ∗ and d 2 s without downsampling or estimating the sequencing depth.

2019年12月4日 · Here, we introduce a new alignment-free tool, Alignment-Free methods Adjusted by Neural Network (Afann) that successfully adjusts this bias and achieves excellent performance on various...

Here, we introduce a new alignment-free tool, Alignment-Free methods Adjusted by Neural Network (Afann) that successfully adjusts this bias and achieves excellent performance on various independent datasets. Afann is freely available at https://github.com/GeniusTang/Afann.

2019年12月4日 · Here, we introduce a new alignment-free tool, Alignment-Free methods Adjusted by Neural Network (Afann) that successfully adjusts this bias and achieves excellent performance on various independent datasets. Afann is freely available at https://github.com/GeniusTang/Afann.

Afann (Alignment-Free methods Adjusted by Neural Network) is a software tool that improves the accuracy of alignment-free methods for comparing genome sequences or raw sequencing samples without assembly. Alignment-free methods are faster and more memory-efficient than alignment-based methods.

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Afann: bias adjustment for alignment-free sequence comparison based on sequencing data using neural network regression | Genome Biology 与alignment-based的方法相比，alignment-free方法具有更好的时间和内存效率，已被广泛用于基因组序列比较分析。

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Afann (Alignment-Free methods Adjusted by Neural Network) is an alignment-free software that supports fast calculation of different dissimilarity measures including d2star, d2shepp, CVtree, Manhattan, Euclidean and d2.