PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences
R Muhammod, S Ahmed, D Md Farid… - …, 2019 - academic.oup.com
Motivation Extracting useful feature set which contains significant discriminatory information
is a critical step in effectively presenting sequence data to predict structural, functional …
is a critical step in effectively presenting sequence data to predict structural, functional …
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
Structural and physiochemical descriptors extracted from sequence data have been widely
used to represent sequences and predict structural, functional, expression and interaction …
used to represent sequences and predict structural, functional, expression and interaction …
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data
Z Chen, P Zhao, F Li, TT Marquez-Lago… - Briefings in …, 2020 - academic.oup.com
With the explosive growth of biological sequences generated in the post-genomic era, one
of the most challenging problems in bioinformatics and computational biology is to …
of the most challenging problems in bioinformatics and computational biology is to …
Computing wide range of protein/peptide features from their sequence and structure
Motivation In last three decades, a wide range of protein descriptors/features have been
discovered to annotate a protein with high precision. A wide range of features have been …
discovered to annotate a protein with high precision. A wide range of features have been …
A review on the recent developments of sequence-based protein feature extraction methods
J Zhang, B Liu - Current Bioinformatics, 2019 - ingentaconnect.com
Background: Proteins play a crucial role in life activities, such as catalyzing metabolic
reactions, DNA replication, responding to stimuli, etc. Identification of protein structures and …
reactions, DNA replication, responding to stimuli, etc. Identification of protein structures and …
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
Sequence-based analysis and prediction are fundamental bioinformatic tasks that facilitate
understanding of the sequence (-structure)-function paradigm for DNAs, RNAs and proteins …
understanding of the sequence (-structure)-function paradigm for DNAs, RNAs and proteins …
DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis
Here, we present DeepBIO, the first-of-its-kind automated and interpretable deep-learning
platform for high-throughput biological sequence functional analysis. DeepBIO is a one-stop …
platform for high-throughput biological sequence functional analysis. DeepBIO is a one-stop …
BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features
Background Understanding how biomolecules interact is a major task of systems biology. To
model protein-nucleic acid interactions, it is important to identify the DNA or RNA-binding …
model protein-nucleic acid interactions, it is important to identify the DNA or RNA-binding …
Prediction of DNA-binding residues from protein sequence information using random forests
Background Protein-DNA interactions are involved in many biological processes essential
for cellular function. To understand the molecular mechanism of protein-DNA recognition, it …
for cellular function. To understand the molecular mechanism of protein-DNA recognition, it …
Efficient feature selection and classification of protein sequence data in bioinformatics
Bioinformatics has been an emerging area of research for the last three decades. The
ultimate aims of bioinformatics were to store and manage the biological data, and develop …
ultimate aims of bioinformatics were to store and manage the biological data, and develop …