纳米孔碱基在边缘的呼唤
Nanopore Base Calling on the Edge
摘要：
我们开发了一种新的碱基调用器DeepNano-coral用于纳米孔测序，它经过优化，可以在Coral Edge Tensor Processing Unit（一种小型USB连接的硬件加速器）上运行。为了实现这一目标，我们设计了两个关键组件的新版本，用于卷积神经网络的语音识别和基地呼叫。在我们的组件中，我们提出了一种新的方式，将完整的卷积分解为更小的操作，这减少了内存访问操作，内存访问是该设备上的瓶颈。DeepNano-coral在测序过程中实现了实时碱基调用，其准确性略优于Guppy碱基调用器的快速模式，并且非常节能，仅使用10 W的功率。可用性：https://github.com/fmfi-compbio/coral-basecaller
英文摘要：
We developed a new base caller DeepNano-coral for nanopore sequencing, which is optimized to run on the Coral Edge Tensor Processing Unit, a small USB-attached hardware accelerator. To achieve this goal, we have designed new versions of two key components used in convolutional neural networks for speech recognition and base calling. In our components, we propose a new way of factorization of a full convolution into smaller operations, which decreases memory access operations, memory access being a bottleneck on this device. DeepNano-coral achieves real-time base calling during sequencing with the accuracy slightly better than the fast mode of the Guppy base caller and is extremely energy efficient, using only 10W of power. Availability: https://github.com/fmfi-compbio/coral-basecaller
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
