Titlebook: Computational Epigenomics and Epitranscriptomics; Pedro H. Oliveira Book 2023 The Editor(s) (if applicable) and The Author(s), under exclu

Ingenuity

先驅(qū)

Die Erwerbsbeteiligung von Stieffamilienrehensive query database was also provided to deposit over 4300 human Ψ modifications, which is currently the most complete collection of experimental-derived Ψ sites. The PIANO website is freely accessible at: . or ..

FLIRT

Hypomania

Ancillary

BOOR

DNA Modification Patterns Filtering and Analysis Using DNAModAnnot,ions. Here, we provide an application?example of this workflow with PacBio data and guide the user by explaining expected outputs via a fully integrated Rmarkdown script. This protocol is presented with tips showing how to adapt the provided code for annotating epigenomes of any organism according to the user needs.

通情達(dá)理

Predicting Pseudouridine Sites with Porpoise, ensemble learning model using different combinations of feature-based features. This general machine learning framework can facilitate users to build their pseudouridine predictors using their in-house datasets.

Choreography

Bridle

Nanopore Direct RNA Sequencing Data Processing and Analysis Using MasterOfPores,support of the GPU computing for the basecalling and read demultiplexing steps. The secondary analyses of the workflow focus on the estimation of RNA poly(A) tail lengths and the identification of RNA modifications. The MoP2 code is available at . and is distributed under the MIT license.

山崩

,Data Analysis Pipeline for Detection and Quantification of Pseudouridine (ψ) in RNA by HydraPsiSeq,tification of the pseudouridine content. All “wet-lab” technical details of the HydraPsiSeq protocol have been described in recent publications. Here, we describe all bioinformatics analysis steps required for data processing from raw reads to the pseudouridylation profile of known or unknown RNA.