iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition.
about
Survey of Programs Used to Detect Alternative Splicing Isoforms from Deep Sequencing Data In SilicoDecomposition of RNA methylome reveals co-methylation patterns induced by latent enzymatic regulators of the epitranscriptomeBioTriangle: a web-accessible platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactionsiNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid compositionIdentify Beta-Hairpin Motifs with Quadratic Discriminant Algorithm Based on the Chemical ShiftsIdentification of real microRNA precursors with a pseudo structure status composition approachiCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channelsIdentifying anticancer peptides by using improved hybrid compositionsResistance gene identification from Larimichthys crocea with machine learning techniques.Identification of Multi-Functional Enzyme with Multi-Label ClassifierPseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions.Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC.Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors.Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function.iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition.iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid compositionNucleosome positioning: resources and tools online.iDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid compositioniPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition.3D QSAR studies, pharmacophore modeling and virtual screening on a series of steroidal aromatase inhibitors.Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformationA high performance prediction of HPV genotypes by Chaos game representation and singular value decomposition.nuMap: a web platform for accurate prediction of nucleosome positioningrepDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects.Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences.Simple Elastic Network Models for Exhaustive Analysis of Long Double-Stranded DNA Dynamics with Sequence Geometry DependenceImproved Species-Specific Lysine Acetylation Site Prediction Based on a Large Variety of Features Set.Identification and analysis of the N(6)-methyladenosine in the Saccharomyces cerevisiae transcriptomePrediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributesEnvironmental genes and genomes: understanding the differences and challenges in the approaches and software for their analyses.Comparison of genomic data via statistical distribution.SABinder: A Web Service for Predicting Streptavidin-Binding Peptides.Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods.Predicting cancerlectins by the optimal g-gap dipeptides.A systematic evaluation of nucleotide properties for CRISPR sgRNA design.Predicting DNA Methylation State of CpG Dinucleotide Using Genome Topological Features and Deep Networks.A deformation energy-based model for predicting nucleosome dyads and occupancyProtein Remote Homology Detection Based on an Ensemble Learning Approach.iACP: a sequence-based tool for identifying anticancer peptides.
P2860
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P2860
iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition.
description
2014 nî lūn-bûn
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name
iNuc-PseKNC: a sequence-based ...... -tuple nucleotide composition.
@en
iNuc-PseKNC: a sequence-based ...... -tuple nucleotide composition.
@nl
type
label
iNuc-PseKNC: a sequence-based ...... -tuple nucleotide composition.
@en
iNuc-PseKNC: a sequence-based ...... -tuple nucleotide composition.
@nl
prefLabel
iNuc-PseKNC: a sequence-based ...... -tuple nucleotide composition.
@en
iNuc-PseKNC: a sequence-based ...... -tuple nucleotide composition.
@nl
P2093
P356
P1433
P1476
iNuc-PseKNC: a sequence-based ...... -tuple nucleotide composition.
@en
P2093
P304
P356
10.1093/BIOINFORMATICS/BTU083
P407
P577
2014-02-06T00:00:00Z