“Characterization and interpretation for nucleic-acid-binding residues from sequence information using SOFB ” Here, we provide the resources of SOFB, including the code, the datasets, and the model. T
For every feature, proteins are divided into a definite number of bins in terms of the different feature values. Then we use number(from 1 to 113) to represent different bins for different features. F
Next-generation sequencing (NGS) is a key technique for studying the DNA and RNA of organisms. However, identifying diverse quality problems in NGS dataacross different experimental settings remains c
Supplemental material, sj-fasta-2-dhj-10.1177_20552076231180739 for Hemolytic-Pred: A machine learning-based predictor for hemolytic proteins using position and composition-based features by Gulnaz Pe
