Influence of RNA extraction methods and library selection schemes on RNA-seq data. - Test2 - elhamkhani - TriplyDB

Influence of RNA extraction methods and library selection schemes on RNA-seq data.

Influence of RNA extraction methods and library selection schemes on RNA-seq data.

http://www.wikidata.org/entity/Q30842108

about

RNA-Seq methods for transcriptome analysis Microarray analysis in pulmonary hypertension Use of Metatranscriptomics in Microbiome Research Next-Generation Sequencing Approaches in Cancer: Where Have They Brought Us and Where Will They Take Us?The Landscape of long noncoding RNA classification Activation of individual L1 retrotransposon instances is restricted to cell-type dependent permissive loci Alternative Splicing Signatures in RNA-seq Data: Percent Spliced in (PSI).Slowed decay of mRNAs enhances platelet specific translation Integration of quantitated expression estimates from polyA-selected and rRNA-depleted RNA-seq libraries In-Depth Duodenal Transcriptome Survey in Chickens with Divergent Feed Efficiency Using RNA-Seq.Molecular tools for studying the major malaria vector Anopheles funestus: improving the utility of the genome using a comparative poly(A) and Ribo-Zero RNAseq analysis Tissue resolved, gene structure refined equine transcriptome A comprehensive assessment of RNA-seq protocols for degraded and low-quantity samples Improving the reliability of peer-reviewed publications: We are all in it together.Identification and validation of an eight-gene expression signature for predicting high Fuhrman grade renal cell carcinoma.The impact of RNA sequence library construction protocols on transcriptomic profiling of leukemia.Defining Trends in Global Gene Expression in Arabian Horses with Cerebellar Abiotrophy.CeFra-seq reveals broad asymmetric mRNA and noncoding RNA distribution profiles in Drosophila and human cells.De novo transcriptome assembly and developmental mode specific gene expression of Pygospio elegans.Live-cell mapping of organelle-associated RNAs via proximity biotinylation combined with protein-RNA crosslinking.Comparison of commercial RNA extraction kits and qPCR master mixes for studying gene expression in small biopsy tissue samples from the equine gastric epithelium.Comprehensive Profiling of lincRNAs in Lung Adenocarcinoma of Never Smokers Reveals Their Roles in Cancer Development and Prognosis.RNA Sequencing and Analysis in Microorganisms for Metabolic Network Reconstruction.Integrative classification of human coding and noncoding genes through RNA metabolism profiles.Capturing the 'ome': the expanding molecular toolbox for RNA and DNA library construction.Transcriptomes of Trypanosoma brucei rhodesiense from sleeping sickness patients, rodents and culture: Effects of strain, growth conditions and RNA preparation methods.Evaluation of two main RNA-seq approaches for gene quantification in clinical RNA sequencing: polyA+ selection versus rRNA depletion.Combination of novel and public RNA-seq datasets to generate an mRNA expression atlas for the domestic chicken

P2860

Q26747608-5E0D2992-B4C3-447E-856D-75F789E148CA Q26748607-634B7AD6-3C30-47E6-BAFE-01D1009E8F6F Q26749065-644CEB0E-AC91-4531-BE11-89BA61BACECC Q26781271-BD888F85-A913-4A9F-A106-4EE11584D754 Q28086829-2C283FA3-7EDC-4093-A5BB-489EB727CF6E Q28602786-84433956-6036-4EE7-8062-C47729E61F00 Q31001936-2D690F2B-CAB9-47CA-BD69-DC0B3E778DD8 Q33615612-8BC184E9-CD22-40C9-B4CB-6A7D15DC6B78 Q33795797-CB877E15-FF93-44D7-88AF-82F00638A764 Q35791938-BA02626B-561A-4071-AB1E-0C6EB1DF1E6F Q35842838-1C8C3C07-373E-4CF4-BCD3-C6B779BB7A0F Q36256079-34A2E1FE-FB08-4CA6-928F-98B403D94309 Q36393221-CF6C3564-510C-4D34-A20F-4ADB0B0CF385 Q36787116-BD1673E6-2D8B-417E-B959-BB0BDBD8A59A Q40462478-A3A6CF4D-CDC1-4728-9D97-F8C24353B553 Q41450867-5796B079-E60B-4328-AD6A-D81CC78235B9 Q42774626-F89427BD-8821-4444-8663-20C6C506AF17 Q46272972-21B5DFC8-1D56-4B51-B0DD-7766C9E57C06 Q46312481-5CF0922A-013C-4E03-AED0-B822ECA1FFE5 Q47104479-49774E8B-FEB7-46FA-826C-698B4210F856 Q47109426-F3F0A6F9-173E-4B84-97FC-3CB18E070605 Q47119804-767BF684-BDF4-4799-8167-1D4DA7185F09 Q47339198-3FC3AAB2-BA28-4BFD-9466-E8CBD8B89EF3 Q48209582-27846180-B4EB-47F6-947A-BD6F0A5BAF9D Q52364252-FD153CDF-BB0C-42AE-A847-97A448E07B7B Q52688348-17BD644F-EFCA-43F0-B4B1-D66906EEF550 Q55078074-38C2E96C-A4A3-4060-80AD-A167C65E8036 Q58797653-0B2AAB92-4C17-47F4-B9AB-EE9393B61F3D

P2860

Influence of RNA extraction methods and library selection schemes on RNA-seq data.

http://www.wikidata.org/entity/Q30842108

description

2014 nî lūn-bûn

@nan

2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի օգոստոսին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年学术文章

@wuu

2014年学术文章

@zh-cn

2014年学术文章

@zh-hans

2014年学术文章

@zh-my

2014年学术文章

@zh-sg

2014年學術文章

@yue

name

Influence of RNA extraction methods and library selection schemes on RNA-seq data.

@ast

Influence of RNA extraction methods and library selection schemes on RNA-seq data.

@en

type

label

Influence of RNA extraction methods and library selection schemes on RNA-seq data.

@ast

Influence of RNA extraction methods and library selection schemes on RNA-seq data.

@en

prefLabel

Influence of RNA extraction methods and library selection schemes on RNA-seq data.

@ast

Influence of RNA extraction methods and library selection schemes on RNA-seq data.

@en

P1433

Q30842108-DB0BD84D-0986-4FCC-A85D-4E7E7F87FD19

P1476

Q30842108-7E031774-99A7-4A80-A40B-6CBF264F55D6

P2093

Q30842108-178B3135-B8B2-43AB-9407-5ED652D00F2E

Q30842108-1D4E9694-E670-44ED-90C1-1627E7494145

Q30842108-31D2B34F-3A6B-48C0-BC39-3CB23D849953

Q30842108-5161D52C-82F1-4A34-8A83-99FA8953CE46

Q30842108-C97B57AD-B78D-4922-8D71-C9C180D3AF23

Q30842108-E3D5352E-D192-4F4B-AFBB-D61E8C372EAD

Q30842108-E8417AAC-1D13-4AE1-ACFA-190889A07AE3

Q30842108-EAAD86CF-FDFA-47D7-8026-A52225FF5F3A

P2860

Q30842108-07C1A5A1-6F2C-4380-99CA-246F5A8656D8

Q30842108-088F77A4-C0E3-446E-901B-C45DAE4D1082

Q30842108-09A45392-A9F5-42F1-B5D0-0B245577AA3D

Q30842108-10A176A9-A004-43D0-B7B7-BEB5104C9B9D

Q30842108-11FC7B2C-8768-4CF7-B5FA-13598BFB0A1E

Q30842108-16C5D8D6-1408-449B-A1E2-04ED0CAD42F2

Q30842108-17949C7A-D08E-4F32-BBC1-0CE0D5782187

Q30842108-1AEB0653-1FAC-4367-B258-F5F0DE4D080E

Q30842108-20A69F4A-1773-4F47-B988-191CE8A35691

Q30842108-2692C879-FF96-4F68-BDFB-F479EBD6C858

P2888

Q30842108-248E6C1B-13DE-4D49-8067-D1363236E17A

P304

Q30842108-4E44EFCE-48D2-4894-844F-A01FE86B5B82

P31

Q30842108-0A3BA865-F72C-48A8-A0FA-E724BD650B8B

P356

Q30842108-4E9BB649-6FD5-406A-90F9-623DDA95C4F6

P407

Q30842108-3751BFF7-9595-4307-9BD9-82F43714ED57

P478

Q30842108-5E80426A-8327-4543-ADC3-F20FDDCFBE94

P50

Q30842108-688BCDA7-2BA7-4C36-BC45-D6E07451FC8B

Q30842108-BE2310DA-8DE0-4B5D-ADF2-44AA9211BFB8

P577

Q30842108-2F6D1AA3-0BFD-4F14-A83B-84A4D4B07822

P5875

Q30842108-3D6C7B6E-59A7-4C76-8D43-CE75E2DE12D0

P6179

Q30842108-AA59D4C4-EE5A-4364-883B-72E88083CC0F

P698

Q30842108-072BF340-5149-4A15-B82C-75BA22460CB3

P921

Q30842108-7E5ED0F5-B4AD-4E5D-83A9-B61B6010B64A

P932

Q30842108-A0B1C025-742B-4680-BC7F-84398F53ACAB

P356

1471-2164-15-675

P1433

P1476

Influence of RNA extraction methods and library selection schemes on RNA-seq data.

@en

P2093

Daniela Balzereit

http://www.w3.org/2001/XMLSchema#string

Marc Sultan

http://www.w3.org/2001/XMLSchema#string

Marie-Laure Yaspo

http://www.w3.org/2001/XMLSchema#string

Meryem Ralser

http://www.w3.org/2001/XMLSchema#string

Moritz Schuette

http://www.w3.org/2001/XMLSchema#string

Simon Dökel

http://www.w3.org/2001/XMLSchema#string

Thomas Risch

http://www.w3.org/2001/XMLSchema#string

Vyacheslav Amstislavskiy

http://www.w3.org/2001/XMLSchema#string

P2860

Most "dark matter" transcripts are associated with known genes

The majority of total nuclear-encoded non-ribosomal RNA in a human cell is 'dark matter' un-annotated RNA

TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions

Mapping and quantifying mammalian transcriptomes by RNA-Seq

CDK9 directs H2B monoubiquitination and controls replication-dependent histone mRNA 3'-end processing

Deep sequencing of the small RNA transcriptome of normal and malignant human B cells identifies hundreds of novel microRNAs

Fast and accurate short read alignment with Burrows-Wheeler transform

Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression

Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals

Transcriptional maps of 10 human chromosomes at 5-nucleotide resolution

P2888

1471-2164-15-675

P304

675

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/1471-2164-15-675

http://www.w3.org/2001/XMLSchema#string

P407

P478

15

http://www.w3.org/2001/XMLSchema#string

P50

Marie-Laure Yaspo

P577

2014-08-11T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

264711993

http://www.w3.org/2001/XMLSchema#string

P6179

1020387759

http://www.w3.org/2001/XMLSchema#string

P698

25113896

http://www.w3.org/2001/XMLSchema#string

P921

P932

4148917

http://www.w3.org/2001/XMLSchema#string