scBalance – a scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data
Automatic cell type annotation methods are increasingly used in single-cell RNA sequencing (scRNA-seq) analysis due…
Browsing: Annotation
scAnno – a deconvolution strategy-based automatic cell type annotation tool for single-cell RNA-sequencing data sets
Undoubtedly, single-cell RNA sequencing (scRNA-seq) has changed the research landscape by providing insights into heterogeneous,…
transXpress – a Snakemake pipeline for streamlined de novo transcriptome assembly and annotation
RNA-seq followed by de novo transcriptome assembly has been a transformative technique in biological research…
scAnnotate – an automated cell type annotation tool for single-cell RNA-sequencing data
Single-cell RNA-sequencing (scRNA-seq) technology enables researchers to investigate a genome at the cellular level with…
DeepBIO – automated and interpretable deep-learning platform for high-throughput biological sequence functional analysis.
Shandong University researchers have developed DeepBIO, the first-of-its-kind automated and interpretable deep-learning platform for high-throughput…
annotate_my_genomes – an easy-to-use pipeline to improve genome annotation and uncover neglected genes by hybrid RNA sequencing
The advancement of hybrid sequencing technologies is increasingly expanding genome assemblies that are often annotated…
Vaeda – computational annotation of doublets in single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) continues to expand our knowledge by facilitating the study of transcriptional…
miRPipe – a unified computational framework for a robust, reliable, and reproducible identification of novel miRNAs from RNA sequencing data
In eukaryotic cells, miRNAs regulate a plethora of cellular functionalities ranging from cellular metabolisms, and…
scPipeline – multi-level cellular and functional annotation of single-cell transcriptomes
Single-cell RNA-sequencing (scRNA-seq) offers functional insight into complex biology, allowing for the interrogation of cellular…
Sparse group lasso outperforms other penalized regression methods for gene (feature) selection from scRNA-seq data
With the emergence of single-cell RNA sequencing (scRNA-seq) technology, scientists are able to examine gene…