article Open AccessTop 10% cited
PLEK: a tool for predicting long non-coding RNAs and messenger RNAs based on an improved k-mer scheme
BMC Bioinformatics · 2014 · Vol. 15(1) · pp. 311–311
Aimin Li✉(Xi’an University)Junying Zhang(Xidian University)Zhongyin Zhou(Chinese Academy of Sciences)
Abstract
PLEK is an efficient alignment-free computational tool to distinguish lncRNAs from mRNAs in RNA-seq transcriptomes of species lacking reference genomes. PLEK is especially suitable for PacBio or 454 sequencing data and large-scale transcriptome data. Its open-source software can be freely downloaded from https://sourceforge.net/projects/plek/files/.
Cancer-related molecular mechanisms researchGenomics and Phylogenetic StudiesRNA modifications and cancerComputational biologyRefSeqGene predictionTranscriptomeComputer scienceBiologyGeneGeneticsGenomeGene expression
MeSH terms
AlgorithmsAnimalsHumansProteinsRNA, MessengerSoftwareSequence Analysis, RNAComputational BiologyGene Expression ProfilingDatabases, GeneticMiceMolecular Sequence AnnotationSupport Vector MachineRNA, Long Noncoding
Funding
- National Natural Science Foundation of China
- Specialized Research Fund for the Doctoral Program of Higher Education of China
Citations
840
FWCI
5.99
field-weighted impact
References
59
Percentile
97%
vs. same field & year
Citations per year
References
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