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…
Browsing: Annotation
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…
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devCellPy – a machine learning-enabled pipeline for automated annotation of complex multilayered single-cell transcriptomic data
A major informatic challenge in single cell RNA-sequencing analysis is the precise annotation of datasets…
Pinc – a bioinformatic-assisted workflow for genome-wide identification of ncRNAs
With the upcoming of affordable Next-Generation Sequencing technologies, the number of known non-protein coding RNAs…
scraps – an end-to-end pipeline for measuring alternative polyadenylation at high resolution using single-cell RNA-seq
Alternative cleavage and polyadenylation (APA) contributes to the diversity of mRNA 3′ ends, affecting post-transcriptional…
THRONE – a new approach for accurate prediction of human RNA N7-methylguanosine sites
N7-methylguanosine (m7G) is an essential, ubiquitous, and positively charged modification at the 5′ cap of…