about
Global transcriptional start site mapping using differential RNA sequencing reveals novel antisense RNAs in Escherichia coliExtracellular RNA in agingVirus-derived small RNAs: molecular footprints of host-pathogen interactionsArchaeal Nucleic Acid Ligases and Their Potential in BiotechnologyIssues and prospects of microRNA-based biomarkers in blood and other body fluidsSmall RNA Library Preparation Method for Next-Generation Sequencing Using Chemical Modifications to Prevent Adapter Dimer FormationCapture and Amplification by Tailing and Switching (CATS). An ultrasensitive ligation-independent method for generation of DNA libraries for deep sequencing from picogram amounts of DNA and RNAFuture microfluidic and nanofluidic modular platforms for nucleic acid liquid biopsy in precision medicine.Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflowThe nuclear and organellar tRNA-derived RNA fragment population in Arabidopsis thaliana is highly dynamicComprehensive evaluation and optimization of amplicon library preparation methods for high-throughput antibody sequencingRemoving bias against short sequences enables northern blotting to better complement RNA-seq for the study of small RNAsModeling bias and variation in the stochastic processes of small RNA sequencing.Differential regulation of non-protein coding RNAs from Prader-Willi Syndrome locus.A cytoplasmic RNA virus generates functional viral small RNAs and regulates viral IRES activity in mammalian cellsDissecting tRNA-derived fragment complexities using personalized transcriptomes reveals novel fragment classes and unexpected dependencies.Fragmentation of tRNA in Phytophthora infestans asexual life cycle stages and during host plant infection.Mining diverse small RNA species in the deep transcriptomeConstruction of mate pair full-length cDNAs libraries and characterization of transcriptional start sites and termination sites.Analysis of Glioblastoma Patients' Plasma Revealed the Presence of MicroRNAs with a Prognostic Impact on Survival and Those of Viral Origin.Identification of reference genes for quantitative expression analysis of microRNAs and mRNAs in barley under various stress conditions.Do housekeeping genes exist?FDF-PAGE: a powerful technique revealing previously undetected small RNAs sequestered by complementary transcriptsA Comprehensive Analysis of Replicating Merkel Cell Polyomavirus Genomes Delineates the Viral Transcription Program and Suggests a Role for mcv-miR-M1 in Episomal Persistence.Selective 2'-hydroxyl acylation analyzed by primer extension and mutational profiling (SHAPE-MaP) for direct, versatile and accurate RNA structure analysisHigh-throughput sequencing of human plasma RNA by using thermostable group II intron reverse transcriptases.Meeting report: discussions and preliminary findings on extracellular RNA measurement methods from laboratories in the NIH Extracellular RNA Communication Consortium.Stable intronic sequence RNAs have possible regulatory roles in Drosophila melanogaster.Comprehensive processing of high-throughput small RNA sequencing data including quality checking, normalization, and differential expression analysis using the UEA sRNA WorkbenchNovel functional microRNAs from virus-free and infected Vitis vinifera plants under water stress.RNA-seq of human reference RNA samples using a thermostable group II intron reverse transcriptase.Detection of RNA-Protein Interactions in Living Cells with SHAPE.A Novel Strategy for Exploitation of Host RNase E Activity by a Marine CyanophageDifferential response of cassava genotypes to infection by cassava mosaic geminiviruses.Circulating microRNAs as Potential Biomarkers of Infectious Disease.Evolutionary dynamics of coding and non-coding transcriptomes.Circulating MicroRNAs and Life Expectancy Among Identical Twins.Towards next generation CHO cell biology: Bioinformatics methods for RNA-Seq-based expression profiling.RNomic identification and evaluation of npcTB_6715, a non-protein-coding RNA gene as a potential biomarker for the detection of Mycobacterium tuberculosis.Unfolding the pathogenesis of scleroderma through genomics and epigenomics.
P2860
Q24490458-F9003008-C1E3-4673-9939-BEF65D0961DBQ26741143-3522426D-8BC8-4368-AB28-2C2B923C7B52Q26750532-E036B62A-9B38-4698-94CC-00FB706B705DQ26780238-DF578776-A769-4DD8-B7ED-429D1148B5B0Q26991755-DF8D5D4A-5181-4E57-A2D5-254952BD21CAQ28553667-AB63C6B5-6A58-40EE-8753-8E4C19F572ACQ28655235-60FFBD0B-224E-44CE-8CCC-28A7D9E65D27Q30357091-BBF14B7D-0628-4079-BAFF-D2EF6E7B231AQ30363613-205290EF-00B3-46BB-85BC-F0CE632AD40CQ33558333-83067CFC-7665-4448-AEA4-DE7CDBAA895CQ33584087-E9E532AE-CF55-4819-A3F0-A2C2265969CAQ33741138-E9102FF3-6F48-48B6-B868-4C71C1DAF069Q33878956-FA9DCD4D-D94D-48C4-8566-956D16368B3FQ34228077-4093271B-87C7-4B06-A32E-CFB8C367EED7Q34489762-DFBA44E7-6AC0-46D8-A794-6D60CE92F102Q34491805-9FF512AE-DBC1-4930-8A86-10EEAE59E38AQ34746667-3DF4E409-1CC0-4343-A992-F16EAF3BF832Q35184600-D5607F39-083E-43F1-A546-52F3ACAFB4F7Q35208578-E1621141-77B4-41B3-9D7E-17FC5083F6BEQ35581594-8CE4E25A-2402-48A3-AA2A-7CDBC039EA6FQ35582243-F986FAF0-1FB2-4329-88D3-4B522A70219FQ35603002-68572A66-3C45-4B5C-9683-F82BF0A558F2Q35662892-E9ADD276-4951-437D-84AE-D08391F28155Q35719885-167B1D11-5166-4A67-9672-E60DF1389656Q35795056-8A8B8A5F-AA6B-4229-B23A-91959646E3F4Q35836890-FD607A7C-2E66-4684-BDB3-9C5B9152CD47Q36006450-712B9517-85BF-4617-AB08-DFB128E0F177Q36210723-21D6CBE5-3059-4929-8938-5A37B6E433B9Q36306858-9ED1EF02-E57D-486E-A7DD-2871EE4A3145Q36528590-4FE38778-8A9D-47FB-A6F4-E9D541DC7E30Q36690973-2C59474B-E9E4-48A3-8CF1-C082C00786DDQ36987278-8284990E-1416-43AC-A9B4-27D3FB7A7A5FQ37076846-688D2A0E-24E2-4146-B08F-C6A7F20A9016Q37458467-1AC84539-A05D-437D-96B3-B060F6FD8400Q37643903-A7E72C03-67CF-46A9-8363-1898B59937B4Q38258263-BFFDEFB7-41AC-4ECA-8861-D82533E949FDQ38379285-39CE6CAD-11AC-4D8F-8784-E84FC1DC3EF5Q38522397-E0DA400A-EB66-4163-97DA-F1A4C5525B6EQ38653215-C366968D-54AA-497D-ABA7-25318D43B894Q38681645-32E98DF0-60A1-4A3A-9CF9-FF3F8C5AC1AD
P2860
description
2013 nî lūn-bûn
@nan
2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Biases in small RNA deep sequencing data.
@ast
Biases in small RNA deep sequencing data.
@en
type
label
Biases in small RNA deep sequencing data.
@ast
Biases in small RNA deep sequencing data.
@en
prefLabel
Biases in small RNA deep sequencing data.
@ast
Biases in small RNA deep sequencing data.
@en
P2093
P2860
P356
P1476
Biases in small RNA deep sequencing data.
@en
P2093
Carsten A Raabe
Juergen Brosius
Thean-Hock Tang
P2860
P304
P356
10.1093/NAR/GKT1021
P407
P577
2013-11-05T00:00:00Z
2014-02-01T00:00:00Z