Results 31 to 40 of about 436,281 (168)

Case study: Targeted RNA-sequencing of aged formalin-fixed paraffin-embedded samples for understanding chemical mode of action

open access: yesToxicology Reports, 2022
Formalin-fixed paraffin-embedded (FFPE) samples are the only remaining biological archive for many toxicological and clinical studies, yet their use in genomics has been limited due to nucleic acid damage from formalin fixation.
Michael D. Cannizzo   +3 more
doaj   +1 more source

Variant analysis pipeline for accurate detection of genomic variants from transcriptome sequencing data.

open access: yesPLoS ONE, 2019
The wealth of information deliverable from transcriptome sequencing (RNA-seq) is significant, however current applications for variant detection still remain a challenge due to the complexity of the transcriptome.
Modupeore O Adetunji   +3 more
doaj   +1 more source

Probe Region Expression Estimation for RNA-Seq Data for Improved Microarray Comparability. [PDF]

open access: yesPLoS ONE, 2015
Rapidly growing public gene expression databases contain a wealth of data for building an unprecedentedly detailed picture of human biology and disease.
Karolis Uziela, Antti Honkela
doaj   +1 more source

The Comparison between Bulk RNA-seq and Ssingle-cell RNA-seq

open access: yesJournal of Physics: Conference Series, 2021
Abstract Bulk RNA-seq and single cell RNA-seq (Sc-RNA) seq are two well-known methods and are broadly used in biology areas. Even though the two ways are all starting from the mRNA level to do the transcriptional analysis, many differences still show in them, but the differences which are critical for researchers to judge and consider ...
openaire   +1 more source

trumpet: transcriptome-guided quality assessment of m6A-seq data

open access: yesBMC Bioinformatics, 2018
Background Methylated RNA immunoprecipitation sequencing (MeRIP-seq or m6A-seq) has been extensively used for profiling transcriptome-wide distribution of RNA N6-Methyl-Adnosine methylation.
Teng Zhang   +3 more
doaj   +1 more source

COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq [PDF]

open access: yesGenomics & Informatics, 2018
Next generation sequencing (NGS), a high-throughput DNA sequencing technology, is widely used for molecular biological studies. In NGS, RNA-sequencing (RNA-Seq), which is a short-read massively parallel sequencing, is a major quantitative transcriptome ...
Sang Cheol Kim   +2 more
doaj   +1 more source

Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq

open access: yesCancer Medicine, 2019
Tumor‐infiltrating myeloid cells are the most abundant leukocyte population within tumors. Molecular cues from the tumor microenvironment promote the differentiation of immature myeloid cells toward an immunosuppressive phenotype.
Qianqian Song   +19 more
doaj   +1 more source

Exploring RNA-Seq Data Analysis Through Visualization Techniques and Tools: A Systematic Review of Opportunities and Limitations for Clinical Applications

open access: yesBioengineering
RNA sequencing (RNA-seq) has emerged as a prominent resource for transcriptomic analysis due to its ability to measure gene expression in a highly sensitive and accurate manner.
Farhana Manzoor   +2 more
doaj   +1 more source

Polyribosomal RNA-Seq reveals the decreased complexity and diversity of the Arabidopsis translatome.

open access: yesPLoS ONE, 2015
Recent RNA-seq studies reveal that the transcriptomes in animals and plants are more complex than previously thought, leading to the inclusion of many more splice isoforms in annotated genomes. However, it is possible that a significant proportion of the
Xingtan Zhang   +4 more
doaj   +1 more source

Statistical Modeling of RNA-Seq Data

open access: yesStatistical Science, 2011
Recently, ultra high-throughput sequencing of RNA (RNA-Seq) has been developed as an approach for analysis of gene expression. By obtaining tens or even hundreds of millions of reads of transcribed sequences, an RNA-Seq experiment can offer a comprehensive survey of the population of genes (transcripts) in any sample of interest.
Salzman, Julia   +2 more
openaire   +5 more sources

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