RNA-Seq using the Illumina platform
CEL-Seq: Single-Cell RNA-Seq by Multiplexed Linear Amplification
... CEL-Seq Primer Design The reverse-transcription primer was designed with an anchored polyT, a unique barcode, the 5 0 Illumina adaptor, and a T7 promoter. The T7 promoter sequence was as previously ...
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A High-Throughput Method for Illumina RNA-Seq Library Preparation.
... libraries using custom Perl ...samples using FASTQC 4 and the results were plotted using ggplot2 ( Wickham, 2009 ...http://solgenomics.net/itag/release/2.3/list_files) using bowtie ( Langmead ...
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A cost-effective method for Illumina small RNA-Seq library preparation using T4 RNA ligase 1 adenylated adapters
... T4 RNA ligase 1 could be used to adenylated RNA oligos ...micro- RNA cloning adapter ...T4 RNA ligase 1 under various reaction condi- tions, and in all cases, a clear band shift was observed ...
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Elimination of PCR duplicates in RNA-seq and small RNA-seq using unique molecular identifiers
... identification using UMIs, we calculated the dif- ference between the number of reads after PCR duplicate removal ( “estimate”) and the true value (“truth”) relative to the true value: (estimate − ...
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Re-using public RNA-Seq data
... RNA-Seq pipelines share only a limited number of similarities beside the name. Differ- ences emerge from the choice of analysis tools, formats of output, methods of maintaining infrastructure, requirements ...
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Studying bacterial transcriptomes using RNA-seq
... assembled using software either based on overlap graphs, such as EDENA [ 30 ], or de Bruijn graphs, for instance ABySS [ 31 ], ALLPATHS [ 32 ] or Velvet [ 33 ], which features a strand-specific assem- bly ...
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Using Illumina BaseSpace Apps to Analyze RNA Sequencing Data
... The Illumina TopHat Alignment and Cufflinks Assembly and Differential Expression apps provide the most widely adopted suite of RNA data analysis tools in a simple click-and-go user ...make RNA data ...
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Exon-intron chain reconstruction of circular RNA using RNA-Seq
... detected using RNA-Seq comparing three circRNA detection programs, including DCC which was developed in the Dieterich lab by Jun Cheng [31] and which is maintained by ...
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Normalization of RNA-Seq
... Gene-specific effects on read counts. Several authors have reported selec- tion biases related to sequence features such as gene length, GC-content, and mappability [2, 3, 5, 7]. Using biasPlot, one can see the ...
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Cross-Platform Normalization of Microarray and Rna-Seq Data for Machine Learning Applications
... On Dataset 2, TDM had the best performance, albeit with wide confidence intervals. However, TDM had the best mean Kappa on these data, revealing that this result was the less likely to result from chance. This is an ...
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Novel methods in transcriptome analysis using RNA-seq
... The other type of methods is gapped alignment, which adopts the ‘anchor-extension’ strategy used in EST mapping (e.g. BLAT ( Kent , 2002 )). This has been implemented in recent RNA-seq alignment tools such ...
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Assessment of kinship detection using RNA-seq data
... detection using empirical human RNA-seq data We mapped and filtered the raw RNA-seq data from B- lymphocytes from members of the CEPH /UTAH family 1463 ( 26 ) and in parallel filtered ...
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SCRABBLE: single cell RNA seq imputation constrained by bulk RNA seq data
... by using cell-cell distance, as quantified by either Euclidean distance or kernel ...bulk RNA-seq data to im- pute dropout data in order to reduce unwanted bias during ...analysis using both ...
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RNA-seq analysis in R
... Figure 1: mmu04659 - Th17 cell differentiation Exercise 2 - GO term enrichment analysis clusterProfiler can also perform over-representation analysis on GO terms. using the comm- mand enrichGO. Look at the help ...
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Single-cell RNA-seq data analysis using Chipster
... What can go wrong? 1. Ideally there is one healthy cell in the droplet. However, sometimes o There is no cell in the droplet, just ambient RNA Remove “empties” based on the small number of genes expressed o There ...
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Towards an improved apple reference transcriptome using RNA-seq
... in rna- seq data analysis is to map the short reads back to the ref- erence genome or reference transcriptome so that the reads associated with a specific gene could be counted and then used to compare with ...
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Mining and Characterizing the SSR Markers for Black Rice Using the Illumina Sequencing Platform
... Figure 5. Frequency distribution of the SSRs identified in Black rice transcriptome. (A) Frequency distribution of the Black rice SSRs; (B) Total numbers of different SSR motifs in Black rice are represented. 3.3. ...
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Whole genome sequencing of enriched chloroplast DNA using the Illumina GAII platform
... isolated using a protocol originally designed for isolating chloroplasts from Arabidopsis thaliana [11] with minor modifications: (i) the leaf material was homo- genised using an Ultra-Turrax homogeniser ...
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An improved method of constructing degradome library suitable for sequencing using Illumina platform
... predicted using computational approaches [9, ...of RNA ends) [12, 13], degradome [14] and GMUCT (genome-wide mapping of uncapped and cleaved transcripts) [15] that combine the 5 ′ RACE and high throughput ...
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VIPER: Visualization Pipeline for RNA-seq, a Snakemake workflow for efficient and complete RNA-seq analysis
... Secondly, using Snakemake offers distinct advan- tages in both efficiency and ...run using inputs that can be made in any text or table editor and a single terminal ...
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