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SCALE method for single-cell ATAC-seq analysis via latent feature extraction
SCALE substantially outperforms the other tools in all aspects of scATAC-seq data analysis, including visualization, clustering, and denoising and imputation, and generates interpretable features that directly link to cell populations, and can potentially reveal batch effects in scATac-seq experiments.
Reweighted sparse subspace clustering
In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs
RISE: a database of RNA interactome from sequencing experiments
The basic features of the human and mouse RRI networks are analyzed and it is found that they tend to be scale-free, small-world, hierarchical and modular, which may suggest technology preference and also dynamic natures of RRIs.
In vivo structural characterization of the whole SARS-CoV-2 RNA genome identifies host cell target proteins vulnerable to re-purposed drugs
In vivoStructural maps of the SARS-CoV-2 RNA genome in infected human cells are determined and promising directions for the rapid development of therapeutics to treat COVID-19 are indicated.
Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures
Interactions with RNA-binding proteins (RBPs) are integral to RNA function and cellular regulation, and dynamically reflect specific cellular conditions. However, presently available tools for…
RASP: an atlas of transcriptome-wide RNA secondary structure probing data
A comprehensive RNA structure probing database called RASP (RNA Atlas of Structure Probing), which curates the up-to-date datasets of several RNA secondary structure probing studies for the RNA genome of SARS-CoV-2, the RNA virus that caused the on-going COVID-19 pandemic.
VRmol: an Integrative Cloud-Based Virtual Reality System to Explore Macromolecular Structure
Vmol is a system with cloud-based capability to directly access disease-related databases, and couples the structure with genomic variation as well corresponding drugs information in a visual interface, thus serving as an integrative platform to aid structure-based translational research and drug design.
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
- Hongwei Yi, Shaoshuai Shi, Guoping Wang
- Computer ScienceIEEE International Conference on Robotics and…
- 13 February 2020
A semantic context encoder is proposed to leverage the free-of-charge semantic segmentation masks in the bird's eye view to address the semantic context information in LiDAR.
Bioactive Functionalized Monolayer Graphene for High-Resolution Cryo-Electron Microscopy.
- Nan Liu, Jincan Zhang, Hongwei Wang
- Chemistry, BiologyJournal of the American Chemical Society
- 6 February 2019
A new type of cryo-EM grids using bioactive-ligand functionalized single-crystalline monolayer graphene membranes as supporting films and functionalized graphene membrane (FGM) grids exhibit specific binding affinity to histidine (His)-tagged proteins and complexes are designed and produced.