PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.
about
Decomposition of RNA methylome reveals co-methylation patterns induced by latent enzymatic regulators of the epitranscriptomeIdentification 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 channelsRAMPred: identifying the N(1)-methyladenosine sites in eukaryotic transcriptomesIdentification of Damaging nsSNVs in HumanERCC2 Gene.PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions.Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition.In-depth comparison of somatic point mutation callers based on different tumor next-generation sequencing depth data2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function.Molecular classification of prostate adenocarcinoma by the integrated somatic mutation profiles and molecular networkiSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition.iDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid compositioniPTM-mLys: identifying multiple lysine PTM sites and their different types.repDNA: 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.Benchmark data for identifying N(6)-methyladenosine sites in the Saccharomyces cerevisiae genomePrediction 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.A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAsPse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods.Handling High-Dimension (High-Feature) MicroRNA Data.Identifying the Types of Ion Channel-Targeted Conotoxins by Incorporating New Properties of Residues into Pseudo Amino Acid Composition.ProFold: Protein Fold Classification with Additional Structural Features and a Novel Ensemble ClassifieriRSpot-DACC: a computational predictor for recombination hot/cold spots identification based on dinucleotide-based auto-cross covariancePAI: Predicting adenosine to inosine editing sites by using pseudo nucleotide compositions.iROS-gPseKNC: Predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition.iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC.iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC.iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier.Genome-Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in HumanPseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences.iSS-PC: Identifying Splicing Sites via Physical-Chemical Properties Using Deep Sparse Auto-Encoder.Predicting protein lysine phosphoglycerylation sites by hybridizing many sequence based features.iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory.Cell-Peptide Specific Interaction Can Inhibit Mycobacterium tuberculosis H37Rv Infection.A comprehensive overview of computational resources to aid in precision genome editing with engineered nucleases.iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition.iRSpot-EL: identify recombination spots with an ensemble learning approach.Combining pseudo dinucleotide composition with the Z curve method to improve the accuracy of predicting DNA elements: a case study in recombination spots.
P2860
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P2860
PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.
description
2014 nî lūn-bûn
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2014年の論文
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2014年学术文章
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2014年学术文章
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2014年学术文章
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2014年学术文章
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2014年学术文章
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2014年学术文章
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@zh-hant
name
PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.
@en
PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.
@nl
type
label
PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.
@en
PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.
@nl
prefLabel
PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.
@en
PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.
@nl
P2093
P356
P1476
PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.
@en
P2093
Dian-Chuan Jin
Tian-Yu Lei
P356
10.1016/J.AB.2014.04.001
P407
P577
2014-04-13T00:00:00Z