142 related articles for article (PubMed ID: 26061358)
1. Harnessing NGS and Big Data Optimally: Comparison of miRNA Prediction from Assembled versus Non-assembled Sequencing Data--The Case of the Grass Aegilops tauschii Complex Genome.
Budak H; Kantar M
OMICS; 2015 Jul; 19(7):407-15. PubMed ID: 26061358
[TBL] [Abstract][Full Text] [Related]
2. Hybrid assembly of the large and highly repetitive genome of
Zimin AV; Puiu D; Luo MC; Zhu T; Koren S; Marçais G; Yorke JA; Dvořák J; Salzberg SL
Genome Res; 2017 May; 27(5):787-792. PubMed ID: 28130360
[TBL] [Abstract][Full Text] [Related]
3. Annotation-based genome-wide SNP discovery in the large and complex Aegilops tauschii genome using next-generation sequencing without a reference genome sequence.
You FM; Huo N; Deal KR; Gu YQ; Luo MC; McGuire PE; Dvorak J; Anderson OD
BMC Genomics; 2011 Jan; 12():59. PubMed ID: 21266061
[TBL] [Abstract][Full Text] [Related]
4. Unique and conserved microRNAs in wheat chromosome 5D revealed by next-generation sequencing.
Kurtoglu KY; Kantar M; Lucas SJ; Budak H
PLoS One; 2013; 8(7):e69801. PubMed ID: 23936103
[TBL] [Abstract][Full Text] [Related]
5. Dissecting miRNAs in Wheat D Genome Progenitor, Aegilops tauschii.
Akpinar BA; Budak H
Front Plant Sci; 2016; 7():606. PubMed ID: 27200073
[TBL] [Abstract][Full Text] [Related]
6. mirExplorer: detecting microRNAs from genome and next generation sequencing data using the AdaBoost method with transition probability matrix and combined features.
Guan DG; Liao JY; Qu ZH; Zhang Y; Qu LH
RNA Biol; 2011; 8(5):922-34. PubMed ID: 21881406
[TBL] [Abstract][Full Text] [Related]
7. Grafting-responsive miRNAs in cucumber and pumpkin seedlings identified by high-throughput sequencing at whole genome level.
Li C; Li Y; Bai L; Zhang T; He C; Yan Y; Yu X
Physiol Plant; 2014 Aug; 151(4):406-22. PubMed ID: 24279842
[TBL] [Abstract][Full Text] [Related]
8. Identification and expression profiling of Vigna mungo microRNAs from leaf small RNA transcriptome by deep sequencing.
Paul S; Kundu A; Pal A
J Integr Plant Biol; 2014 Jan; 56(1):15-23. PubMed ID: 24138283
[TBL] [Abstract][Full Text] [Related]
9. Identification of Taxus microRNAs and their targets with high-throughput sequencing and degradome analysis.
Hao DC; Yang L; Xiao PG; Liu M
Physiol Plant; 2012 Dec; 146(4):388-403. PubMed ID: 22708792
[TBL] [Abstract][Full Text] [Related]
10. Identification of miRNA from Bouteloua gracilis, a drought tolerant grass, by deep sequencing and their in silico analysis.
Ordóñez-Baquera PL; González-Rodríguez E; Aguado-Santacruz GA; Rascón-Cruz Q; Conesa A; Moreno-Brito V; Echavarria R; Dominguez-Viveros J
Comput Biol Chem; 2017 Feb; 66():26-35. PubMed ID: 27871001
[TBL] [Abstract][Full Text] [Related]
11. Sequencing chromosome 5D of Aegilops tauschii and comparison with its allopolyploid descendant bread wheat (Triticum aestivum).
Akpinar BA; Lucas SJ; Vrána J; Doležel J; Budak H
Plant Biotechnol J; 2015 Aug; 13(6):740-52. PubMed ID: 25516153
[TBL] [Abstract][Full Text] [Related]
12. MicroRNAs: new candidates for the regulation of the human cumulus-oocyte complex.
Assou S; Al-edani T; Haouzi D; Philippe N; Lecellier CH; Piquemal D; Commes T; Aït-Ahmed O; Dechaud H; Hamamah S
Hum Reprod; 2013 Nov; 28(11):3038-49. PubMed ID: 23904466
[TBL] [Abstract][Full Text] [Related]
13. microRPM: a microRNA prediction model based only on plant small RNA sequencing data.
Tseng KC; Chiang-Hsieh YF; Pai H; Chow CN; Lee SC; Zheng HQ; Kuo PL; Li GZ; Hung YC; Lin NS; Chang WC
Bioinformatics; 2018 Apr; 34(7):1108-1115. PubMed ID: 29136092
[TBL] [Abstract][Full Text] [Related]
14. In silico identification of novel endo-siRNAs.
Schuster A; Hennig GW; Ortogero N; Luong D; Yan W
Methods Mol Biol; 2015; 1218():341-51. PubMed ID: 25319662
[TBL] [Abstract][Full Text] [Related]
15. Mirinho: An efficient and general plant and animal pre-miRNA predictor for genomic and deep sequencing data.
Higashi S; Fournier C; Gautier C; Gaspin C; Sagot MF
BMC Bioinformatics; 2015 May; 16():179. PubMed ID: 26022464
[TBL] [Abstract][Full Text] [Related]
16. High-throughput deep sequencing shows that microRNAs play important roles in switchgrass responses to drought and salinity stress.
Xie F; Stewart CN; Taki FA; He Q; Liu H; Zhang B
Plant Biotechnol J; 2014 Apr; 12(3):354-66. PubMed ID: 24283289
[TBL] [Abstract][Full Text] [Related]
17. Wheat miRNA ancestors: evident by transcriptome analysis of A, B, and D genome donors.
Alptekin B; Budak H
Funct Integr Genomics; 2017 May; 17(2-3):171-187. PubMed ID: 27032785
[TBL] [Abstract][Full Text] [Related]
18. RNASeqBrowser: a genome browser for simultaneous visualization of raw strand specific RNAseq reads and UCSC genome browser custom tracks.
An J; Lai J; Wood DL; Sajjanhar A; Wang C; Tevz G; Lehman ML; Nelson CC
BMC Genomics; 2015 Mar; 16(1):145. PubMed ID: 25766521
[TBL] [Abstract][Full Text] [Related]
19. Identification and characterization of microRNAs in the developing maize endosperm.
Gu Y; Liu Y; Zhang J; Liu H; Hu Y; Du H; Li Y; Chen J; Wei B; Huang Y
Genomics; 2013; 102(5-6):472-8. PubMed ID: 24021532
[TBL] [Abstract][Full Text] [Related]
20. Deep sequencing, profiling and detailed annotation of microRNAs in Takifugu rubripes.
Wongwarangkana C; Fujimori KE; Akiba M; Kinoshita S; Teruya M; Nezuo M; Masatoshi T; Watabe S; Asakawa S
BMC Genomics; 2015 Jun; 16(1):457. PubMed ID: 26078057
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
