Principles and limitations of computational microRNA gene and target finding.
about
miRecords: an integrated resource for microRNA-target interactionsIntegrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potentialMicroRNAs: New Biomarkers for Diagnosis, Prognosis, Therapy Prediction and Therapeutic Tools for Breast CancerMicroRNA discovery by similarity search to a database of RNA-seq profilesPotential Impact of miR-137 and Its Targets in Schizophrenia.Computational prediction and experimental validation of Ciona intestinalis microRNA genesIn silico miRNA prediction in metazoan genomes: balancing between sensitivity and specificity.Statistical use of argonaute expression and RISC assembly in microRNA target identificationInsight into microRNA regulation by analyzing the characteristics of their targets in humans.Survey of Computational Algorithms for MicroRNA Target Prediction.Comprehensive survey of human brain microRNA by deep sequencing.Improving performance of mammalian microRNA target prediction.A Bayesian approach for identifying miRNA targets by combining sequence prediction and gene expression profiling.From structure prediction to genomic screens for novel non-coding RNAs.microRNA biomarkers in cystic diseases.miREE: miRNA recognition elements ensembleComputational Methods for MicroRNA Target Prediction.MicroRNAs and human retrovirusesTranscriptome-Wide Identification and Prediction of miRNAs and Their Targets in Paris polyphylla var. yunnanensis by High-Throughput Sequencing AnalysisHeterogeneous ensemble approach with discriminative features and modified-SMOTEbagging for pre-miRNA classificationAntiviral Stratagems Against HIV-1 Using RNA Interference (RNAi) Technology.Computational challenges in miRNA target predictions: to be or not to be a true target?Computational prediction and experimental validation of microRNAs in the brown alga Ectocarpus siliculosus.Fast selection of miRNA candidates based on large-scale pre-computed MFE sets of randomized sequencesDe novo prediction of structured RNAs from genomic sequences.Computational methods for the identification of microRNA targetsMicroRNAs as Novel Biomarkers in Colorectal Cancer.A Review of Computational Tools in microRNA Discovery.Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions.Epigenetic Regulation in Cystogenesis.RNA Bioinformatics for Precision Medicine.Low-level expression of let-7a in gastric cancer and its involvement in tumorigenesis by targeting RAB40C.Navigating the unexplored seascape of pre-miRNA candidates in single-genome approaches.RIsearch: fast RNA-RNA interaction search using a simplified nearest-neighbor energy model.Structural profiles of human miRNA families from pairwise clustering.microPred: effective classification of pre-miRNAs for human miRNA gene prediction.BosFinder: a novel pre-microRNA gene prediction algorithm in Bos taurus.
P2860
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P2860
Principles and limitations of computational microRNA gene and target finding.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Principles and limitations of computational microRNA gene and target finding.
@en
type
label
Principles and limitations of computational microRNA gene and target finding.
@en
prefLabel
Principles and limitations of computational microRNA gene and target finding.
@en
P356
P1433
P1476
Principles and limitations of computational microRNA gene and target finding.
@en
P2093
Morten Lindow
P304
P356
10.1089/DNA.2006.0551
P50
P577
2007-05-01T00:00:00Z