rna sequencing data Search Results


rna sequencing data  (Broad Institute Inc)
90
Broad Institute Inc rna sequencing data
Rna Sequencing Data, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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high-throughput rna sequencing data  (Johns Hopkins HealthCare)
90
Johns Hopkins HealthCare high-throughput rna sequencing data
Validation of gene expression by RT-qPCR. (A-I) The relative expression of genes in seven fallopian tube samples and seven samples from HGSC patients, as determined by <t>RNA</t> <t>sequencing</t> data, was validated using RT-qPCR.
High Throughput Rna Sequencing Data, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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total rna sequencing data  (Viroscope)
90
Viroscope total rna sequencing data
Validation of gene expression by RT-qPCR. (A-I) The relative expression of genes in seven fallopian tube samples and seven samples from HGSC patients, as determined by <t>RNA</t> <t>sequencing</t> data, was validated using RT-qPCR.
Total Rna Sequencing Data, supplied by Viroscope, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/total rna sequencing data/product/Viroscope
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t. gondii pru rna sequence data  (Oxford Nanopore)
90
Oxford Nanopore t. gondii pru rna sequence data
Comparative analysis of genome assemblies of Neospora caninum and <t>Toxoplasma</t> <t>gondii</t> using third-generation sequencing data reveals misassembly and karyotype differences. ( A ) Comparative analysis of the T. gondii type II ( Tg ME49) genome assembly and the N. caninum Liverpool ( Nc Liv) strain genome assembly, obtained based on Sanger technology sequencing data. ( B ) Comparative alignment of the Nc Liv genome assemblies using Sanger and third-generation (long-read) technology. ( C ) Comparative alignment of the T. gondii type II ( Tg ME49) genome assemblies based on Sanger technology sequencing data or third-generation (long-read) technology of T. gondii type I ( Tg RH). ( D ) Comparative alignment of the T. gondii type I ( Tg RH) and the Nc Liv genome assemblies based on third-generation (long-read) sequencing technology. ( E ) Chromosomal layout of N. caninum . Karyotype, chromosome length, telomeres, putative centromeres, and large repeats are shown.
T. Gondii Pru Rna Sequence Data, supplied by Oxford Nanopore, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/t. gondii pru rna sequence data/product/Oxford Nanopore
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rna-seq mapping and rna editing detection pipelines  (Strongarm Inc)
90
Strongarm Inc rna-seq mapping and rna editing detection pipelines
The <t>StrongArm</t> RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort
Rna Seq Mapping And Rna Editing Detection Pipelines, supplied by Strongarm Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rna-seq mapping and rna editing detection pipelines/product/Strongarm Inc
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rna-seq mapping and rna editing detection pipelines - by Bioz Stars, 2026-06
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single-cell rna sequencing data  (Almet Corporation Limited)
90
Almet Corporation Limited single-cell rna sequencing data
The <t>StrongArm</t> RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort
Single Cell Rna Sequencing Data, supplied by Almet Corporation Limited, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/single-cell rna sequencing data/product/Almet Corporation Limited
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single-cell rna sequencing data - by Bioz Stars, 2026-06
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rna-sequencing data  (HEALTH Gene Technologies Co)
90
HEALTH Gene Technologies Co rna-sequencing data
The <t>StrongArm</t> RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort
Rna Sequencing Data, supplied by HEALTH Gene Technologies Co, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rna-sequencing data/product/HEALTH Gene Technologies Co
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rna-sequencing data - by Bioz Stars, 2026-06
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rna-seq  (AstraZeneca ltd)
90
AstraZeneca ltd rna-seq
The <t>StrongArm</t> RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort
Rna Seq, supplied by AstraZeneca ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rna-seq/product/AstraZeneca ltd
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rna-seq - by Bioz Stars, 2026-06
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breast cancer scrna-seq data  (Broad Institute Inc)
90
Broad Institute Inc breast cancer scrna-seq data
The <t>StrongArm</t> RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort
Breast Cancer Scrna Seq Data, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/breast cancer scrna-seq data/product/Broad Institute Inc
Average 90 stars, based on 1 article reviews
breast cancer scrna-seq data - by Bioz Stars, 2026-06
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rna sequencing and transcriptomic data processing  (CapitalBio Corporation)
90
CapitalBio Corporation rna sequencing and transcriptomic data processing
The <t>StrongArm</t> RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort
Rna Sequencing And Transcriptomic Data Processing, supplied by CapitalBio Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rna sequencing and transcriptomic data processing/product/CapitalBio Corporation
Average 90 stars, based on 1 article reviews
rna sequencing and transcriptomic data processing - by Bioz Stars, 2026-06
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rna sequencing data for ece2  (STEMCELL Technologies Inc)
90
STEMCELL Technologies Inc rna sequencing data for ece2
The <t>StrongArm</t> RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort
Rna Sequencing Data For Ece2, supplied by STEMCELL Technologies Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rna sequencing data for ece2/product/STEMCELL Technologies Inc
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rna sequencing data for ece2 - by Bioz Stars, 2026-06
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gene prediction (hmm-based) using both rna-seq data and genome sequence  (SourceForge net)
90
SourceForge net gene prediction (hmm-based) using both rna-seq data and genome sequence
The <t>StrongArm</t> RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort
Gene Prediction (Hmm Based) Using Both Rna Seq Data And Genome Sequence, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/gene prediction (hmm-based) using both rna-seq data and genome sequence/product/SourceForge net
Average 90 stars, based on 1 article reviews
gene prediction (hmm-based) using both rna-seq data and genome sequence - by Bioz Stars, 2026-06
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Image Search Results


Validation of gene expression by RT-qPCR. (A-I) The relative expression of genes in seven fallopian tube samples and seven samples from HGSC patients, as determined by RNA sequencing data, was validated using RT-qPCR.

Journal: Frontiers in Pharmacology

Article Title: Phosphodiesterase 7: a potential novel therapeutic target in ovarian cancer

doi: 10.3389/fphar.2025.1566330

Figure Lengend Snippet: Validation of gene expression by RT-qPCR. (A-I) The relative expression of genes in seven fallopian tube samples and seven samples from HGSC patients, as determined by RNA sequencing data, was validated using RT-qPCR.

Article Snippet: Amongst the first twenty genes from the high-throughput RNA sequencing data (data gently provided by Dr. Shih from Johns Hopkins University), we designed primers for nine of them.

Techniques: Biomarker Discovery, Gene Expression, Quantitative RT-PCR, Expressing, RNA Sequencing

Comparative analysis of genome assemblies of Neospora caninum and Toxoplasma gondii using third-generation sequencing data reveals misassembly and karyotype differences. ( A ) Comparative analysis of the T. gondii type II ( Tg ME49) genome assembly and the N. caninum Liverpool ( Nc Liv) strain genome assembly, obtained based on Sanger technology sequencing data. ( B ) Comparative alignment of the Nc Liv genome assemblies using Sanger and third-generation (long-read) technology. ( C ) Comparative alignment of the T. gondii type II ( Tg ME49) genome assemblies based on Sanger technology sequencing data or third-generation (long-read) technology of T. gondii type I ( Tg RH). ( D ) Comparative alignment of the T. gondii type I ( Tg RH) and the Nc Liv genome assemblies based on third-generation (long-read) sequencing technology. ( E ) Chromosomal layout of N. caninum . Karyotype, chromosome length, telomeres, putative centromeres, and large repeats are shown.

Journal: Genome Research

Article Title: Reevaluation of the Toxoplasma gondii and Neospora caninum genomes reveals misassembly, karyotype differences, and chromosomal rearrangements

doi: 10.1101/gr.262832.120

Figure Lengend Snippet: Comparative analysis of genome assemblies of Neospora caninum and Toxoplasma gondii using third-generation sequencing data reveals misassembly and karyotype differences. ( A ) Comparative analysis of the T. gondii type II ( Tg ME49) genome assembly and the N. caninum Liverpool ( Nc Liv) strain genome assembly, obtained based on Sanger technology sequencing data. ( B ) Comparative alignment of the Nc Liv genome assemblies using Sanger and third-generation (long-read) technology. ( C ) Comparative alignment of the T. gondii type II ( Tg ME49) genome assemblies based on Sanger technology sequencing data or third-generation (long-read) technology of T. gondii type I ( Tg RH). ( D ) Comparative alignment of the T. gondii type I ( Tg RH) and the Nc Liv genome assemblies based on third-generation (long-read) sequencing technology. ( E ) Chromosomal layout of N. caninum . Karyotype, chromosome length, telomeres, putative centromeres, and large repeats are shown.

Article Snippet: Nonetheless, examination of available T. gondii PRU RNA sequence data from Oxford Nanopore has revealed numerous reads capable of encoding full-length cytochrome transcripts.

Techniques: Sequencing

Regions of synteny breaks between N. caninum and T. gondii are populated by three conserved domains. ( A ) Sequence identity of domains identified at regions where chromosomal rearrangements have occurred. ( B ) Graphical representation of Chromosome VIII of Nc Liv. Comparative alignment to the T. gondii chromosomes. Percentages of sequence identity are shown. Regions examined for the presence of motifs are indicated (light green). The position of the putative centromere is indicated in orange. Note that large repetitive regions were not identified in this chromosome. 5′ (light purple) and 3′ (dark purple) telomeres are indicated. The identity and number of domains found per region, in Chromosome VII, are indicated.

Journal: Genome Research

Article Title: Reevaluation of the Toxoplasma gondii and Neospora caninum genomes reveals misassembly, karyotype differences, and chromosomal rearrangements

doi: 10.1101/gr.262832.120

Figure Lengend Snippet: Regions of synteny breaks between N. caninum and T. gondii are populated by three conserved domains. ( A ) Sequence identity of domains identified at regions where chromosomal rearrangements have occurred. ( B ) Graphical representation of Chromosome VIII of Nc Liv. Comparative alignment to the T. gondii chromosomes. Percentages of sequence identity are shown. Regions examined for the presence of motifs are indicated (light green). The position of the putative centromere is indicated in orange. Note that large repetitive regions were not identified in this chromosome. 5′ (light purple) and 3′ (dark purple) telomeres are indicated. The identity and number of domains found per region, in Chromosome VII, are indicated.

Article Snippet: Nonetheless, examination of available T. gondii PRU RNA sequence data from Oxford Nanopore has revealed numerous reads capable of encoding full-length cytochrome transcripts.

Techniques: Sequencing

Comparative analysis of mitochondrial genome structures and annotations of Neospora and Toxoplasma reveals gene fragmentation and reshuffling between species and strains. ( A ) The repetitive nature of the gene structure in a 32-kb mitochondrial DNA contig of Nc Liv is graphically represented in a YASS plot. ( B ) The repetitive nature of the gene structure in a 16-kb mitochondrial DNA contig of Nc Liv is graphically represented in a YASS plot. ( C ) Comparative alignment between two Nc Liv mitochondrial contigs of 16 and 32 kb, respectively. ( D ) Comparative alignment between a Nc Liv mitochondrial contig of 32 kb and a Nc Uru1 mitochondrial contig of 38 kb. ( E ) Comparative alignment between two Nc Uru1 mitochondrial contigs of 16 and 38 kb, respectively. ( F ) The repetitive nature of the gene structure in a 16-kb mitochondrial DNA contig of Nc Uru1 is graphically represented in a YASS plot. ( G ) Comparative alignment between a Nc Liv mitochondrial contig of 32 kb and a T. gondii mitochondrial contigs of 39 kb.

Journal: Genome Research

Article Title: Reevaluation of the Toxoplasma gondii and Neospora caninum genomes reveals misassembly, karyotype differences, and chromosomal rearrangements

doi: 10.1101/gr.262832.120

Figure Lengend Snippet: Comparative analysis of mitochondrial genome structures and annotations of Neospora and Toxoplasma reveals gene fragmentation and reshuffling between species and strains. ( A ) The repetitive nature of the gene structure in a 32-kb mitochondrial DNA contig of Nc Liv is graphically represented in a YASS plot. ( B ) The repetitive nature of the gene structure in a 16-kb mitochondrial DNA contig of Nc Liv is graphically represented in a YASS plot. ( C ) Comparative alignment between two Nc Liv mitochondrial contigs of 16 and 32 kb, respectively. ( D ) Comparative alignment between a Nc Liv mitochondrial contig of 32 kb and a Nc Uru1 mitochondrial contig of 38 kb. ( E ) Comparative alignment between two Nc Uru1 mitochondrial contigs of 16 and 38 kb, respectively. ( F ) The repetitive nature of the gene structure in a 16-kb mitochondrial DNA contig of Nc Uru1 is graphically represented in a YASS plot. ( G ) Comparative alignment between a Nc Liv mitochondrial contig of 32 kb and a T. gondii mitochondrial contigs of 39 kb.

Article Snippet: Nonetheless, examination of available T. gondii PRU RNA sequence data from Oxford Nanopore has revealed numerous reads capable of encoding full-length cytochrome transcripts.

Techniques:

The StrongArm RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort

Journal: BMC Cancer

Article Title: The landscape of coding RNA editing events in pediatric cancer

doi: 10.1186/s12885-021-08956-5

Figure Lengend Snippet: The StrongArm RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort

Article Snippet: Fig. 1 The StrongArm RNA-Seq mapping and RNA editing detection pipelines.

Techniques: RNA Sequencing, DNA Sequencing