DeepVariant
byGoogle
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Machine Learning Model TrainingML FrameworksOpen Source
About
DeepVariant is a deep learning-based variant caller that takes aligned reads (in BAM or CRAM format), produces pileup image tensors from them, classifies each tensor using a convolutional neural network, and finally reports the results in a standard VCF or gVCF file.
Open Source Health
- Stars
- 3,806
- Forks
- 801
- License
- BSD-3-Clause
- Last commit
- 7 months ago
Python
Alternatives to DeepVariant
Rclipby Yurij MikhalevichSemantic photo search for the command line
ChineseNERby jingyuanzhangA neural network model for Chinese named entity recognition
Head Pose Estimationby Yin GuobingRealtime human head pose estimation with ONNXRuntime and OpenCV.
Video Subtitle Extractorby 天涯古巷视频硬字幕提取，生成srt文件。无需申请第三方API，本地实现文本识别。基于深度学习的视频字幕提取框架，包含字幕区域检测、字幕内容提取。A GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files.
U 2 Netby Xuebin QinThe code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Resources & Links
Related Categories
Using DeepVariant?
Track its cost next to the rest of your stack and get a reminder before it renews.
Add to my stackVendor
Organize the world's information and make it universally accessible.
