rnaseq data analysis pipeline Search Results


90
GeneLAB GmbH standard rnaseq analysis pipeline
Standard Rnaseq Analysis Pipeline, supplied by GeneLAB GmbH, 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/standard rnaseq analysis pipeline/product/GeneLAB GmbH
Average 90 stars, based on 1 article reviews
standard rnaseq analysis pipeline - by Bioz Stars, 2026-05
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90
NextGen Sciences rnaseq data preprocessing pipeline
Baseline information of patients and PDOX
Rnaseq Data Preprocessing Pipeline, supplied by NextGen Sciences, 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/rnaseq data preprocessing pipeline/product/NextGen Sciences
Average 90 stars, based on 1 article reviews
rnaseq data preprocessing pipeline - by Bioz Stars, 2026-05
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90
GeneLAB GmbH rnaseq analysis pipeline
Liver and quadriceps samples were dissected from mice immediately after euthanasia with pentobarbital/phenytoin (Euthasol ® ) then preserved in dry ice (I_DI), liquid nitrogen (I_LN2), or RNA later ™ (I_RL) before <t>RNAseq</t> <t>analysis.</t> Alternatively, liver and quadriceps samples were dissected from partially thawed frozen carcasses of mice that were euthanized with pentobarbital/phenytoin (Euthasol ® ) then preserved in dry ice (C_DI), liquid nitrogen (C_LN2), or segmented into thirds and preserved in RNA later™ (C_RL) before RNAseq analysis. A) Principal component analysis of liver samples. Percent variance for each principal component (PC) is shown. B) Uniformity of gene body coverage in liver samples. C) Principal component analysis of quadriceps samples. Percent variance for each principal component (PC) is shown. D) Uniformity of gene body coverage in quadriceps samples. (*** = p < 0.001, ** = p < 0.01, * = p < 0.05, ns = no significance, Mann–Whitney U test).
Rnaseq Analysis Pipeline, supplied by GeneLAB GmbH, 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/rnaseq analysis pipeline/product/GeneLAB GmbH
Average 90 stars, based on 1 article reviews
rnaseq analysis pipeline - by Bioz Stars, 2026-05
90/100 stars
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90
Jackson Laboratory civet single-end rnaseq analysis pipeline
Liver and quadriceps samples were dissected from mice immediately after euthanasia with pentobarbital/phenytoin (Euthasol ® ) then preserved in dry ice (I_DI), liquid nitrogen (I_LN2), or RNA later ™ (I_RL) before <t>RNAseq</t> <t>analysis.</t> Alternatively, liver and quadriceps samples were dissected from partially thawed frozen carcasses of mice that were euthanized with pentobarbital/phenytoin (Euthasol ® ) then preserved in dry ice (C_DI), liquid nitrogen (C_LN2), or segmented into thirds and preserved in RNA later™ (C_RL) before RNAseq analysis. A) Principal component analysis of liver samples. Percent variance for each principal component (PC) is shown. B) Uniformity of gene body coverage in liver samples. C) Principal component analysis of quadriceps samples. Percent variance for each principal component (PC) is shown. D) Uniformity of gene body coverage in quadriceps samples. (*** = p < 0.001, ** = p < 0.01, * = p < 0.05, ns = no significance, Mann–Whitney U test).
Civet Single End Rnaseq Analysis Pipeline, supplied by Jackson Laboratory, 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/civet single-end rnaseq analysis pipeline/product/Jackson Laboratory
Average 90 stars, based on 1 article reviews
civet single-end rnaseq analysis pipeline - by Bioz Stars, 2026-05
90/100 stars
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90
Xenome Limited pdx rnaseq analysis pipeline
Illustration of bioinformatics strategy and workflows for analyzing patient- and <t>PDX-RNAseq.</t> ( a ) Bioinformatics strategy to separate mouse-stroma and human-tumor expression levels from PDX RNAseq data; ( b ) Dotted box indicates patient and PDX Pipelines for processing donor tumors and PDX tumors, respectively; ( c ) Dotted box indicates workflow for examining technical and biological differences.
Pdx Rnaseq Analysis Pipeline, supplied by Xenome 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/pdx rnaseq analysis pipeline/product/Xenome Limited
Average 90 stars, based on 1 article reviews
pdx rnaseq analysis pipeline - by Bioz Stars, 2026-05
90/100 stars
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Image Search Results


Baseline information of patients and PDOX

Journal: Acta Neuropathologica Communications

Article Title: Metabolic and transcriptomic profiles of glioblastoma invasion revealed by comparisons between patients and corresponding orthotopic xenografts in mice

doi: 10.1186/s40478-021-01232-4

Figure Lengend Snippet: Baseline information of patients and PDOX

Article Snippet: Preprocessing of RNA sequencing (RNAseq) data was performed following the standard pipeline and recommendations from bcbio-nextgen (version 1.0.4, http://bcbio-nextgen.readthedocs.org/en/latest/ ).

Techniques:

Liver and quadriceps samples were dissected from mice immediately after euthanasia with pentobarbital/phenytoin (Euthasol ® ) then preserved in dry ice (I_DI), liquid nitrogen (I_LN2), or RNA later ™ (I_RL) before RNAseq analysis. Alternatively, liver and quadriceps samples were dissected from partially thawed frozen carcasses of mice that were euthanized with pentobarbital/phenytoin (Euthasol ® ) then preserved in dry ice (C_DI), liquid nitrogen (C_LN2), or segmented into thirds and preserved in RNA later™ (C_RL) before RNAseq analysis. A) Principal component analysis of liver samples. Percent variance for each principal component (PC) is shown. B) Uniformity of gene body coverage in liver samples. C) Principal component analysis of quadriceps samples. Percent variance for each principal component (PC) is shown. D) Uniformity of gene body coverage in quadriceps samples. (*** = p < 0.001, ** = p < 0.01, * = p < 0.05, ns = no significance, Mann–Whitney U test).

Journal: bioRxiv

Article Title: RNAseq analysis of rodent spaceflight experiments is confounded by sample collection techniques

doi: 10.1101/2020.07.18.209775

Figure Lengend Snippet: Liver and quadriceps samples were dissected from mice immediately after euthanasia with pentobarbital/phenytoin (Euthasol ® ) then preserved in dry ice (I_DI), liquid nitrogen (I_LN2), or RNA later ™ (I_RL) before RNAseq analysis. Alternatively, liver and quadriceps samples were dissected from partially thawed frozen carcasses of mice that were euthanized with pentobarbital/phenytoin (Euthasol ® ) then preserved in dry ice (C_DI), liquid nitrogen (C_LN2), or segmented into thirds and preserved in RNA later™ (C_RL) before RNAseq analysis. A) Principal component analysis of liver samples. Percent variance for each principal component (PC) is shown. B) Uniformity of gene body coverage in liver samples. C) Principal component analysis of quadriceps samples. Percent variance for each principal component (PC) is shown. D) Uniformity of gene body coverage in quadriceps samples. (*** = p < 0.001, ** = p < 0.01, * = p < 0.05, ns = no significance, Mann–Whitney U test).

Article Snippet: Raw RNA sequence data from the RR-1 NASA Validation flight liver (GLDS-48 and GLDS-168) samples, RR-1 CASIS liver samples (GLDS-47), and the ground-based studies designed to simulate and assess spaceflight euthanasia, carcass and tissue preservation, and/or storage protocols, GLDS-49, GLDS-235, and GLDS-236 were analyzed using the GeneLab standard RNAseq analysis pipeline.

Techniques: MANN-WHITNEY

Illustration of bioinformatics strategy and workflows for analyzing patient- and PDX-RNAseq. ( a ) Bioinformatics strategy to separate mouse-stroma and human-tumor expression levels from PDX RNAseq data; ( b ) Dotted box indicates patient and PDX Pipelines for processing donor tumors and PDX tumors, respectively; ( c ) Dotted box indicates workflow for examining technical and biological differences.

Journal: Scientific Reports

Article Title: Gene expression differences between matched pairs of ovarian cancer patient tumors and patient-derived xenografts

doi: 10.1038/s41598-019-42680-2

Figure Lengend Snippet: Illustration of bioinformatics strategy and workflows for analyzing patient- and PDX-RNAseq. ( a ) Bioinformatics strategy to separate mouse-stroma and human-tumor expression levels from PDX RNAseq data; ( b ) Dotted box indicates patient and PDX Pipelines for processing donor tumors and PDX tumors, respectively; ( c ) Dotted box indicates workflow for examining technical and biological differences.

Article Snippet: A PDX RNAseq analysis pipeline was devised based on Xenome and a standard patient tumor pipeline (Fig. ).

Techniques: Expressing

Identification of genes sensitive to patient- versus PDX-RNAseq bioinformatics pipelines. Nine patient donor tumors were processed through patient- and PDX-RNAseq piplines separately; differential expressed genes (DEGs) between the two pipelines are used to determine genes sensitive to pipeline differences. ( a ) MA (M: log ratio, A: Mean average) plot with DEGs highlighted in red; ( b ) Distribution of phast conservation score for all genes and DEGs caused by pipeline differences.

Journal: Scientific Reports

Article Title: Gene expression differences between matched pairs of ovarian cancer patient tumors and patient-derived xenografts

doi: 10.1038/s41598-019-42680-2

Figure Lengend Snippet: Identification of genes sensitive to patient- versus PDX-RNAseq bioinformatics pipelines. Nine patient donor tumors were processed through patient- and PDX-RNAseq piplines separately; differential expressed genes (DEGs) between the two pipelines are used to determine genes sensitive to pipeline differences. ( a ) MA (M: log ratio, A: Mean average) plot with DEGs highlighted in red; ( b ) Distribution of phast conservation score for all genes and DEGs caused by pipeline differences.

Article Snippet: A PDX RNAseq analysis pipeline was devised based on Xenome and a standard patient tumor pipeline (Fig. ).

Techniques:

Expression differences of donor-PDX tumor pairs and impact on transcriptome pair similarity. RNASeq for nine pairs of donor/PDX tumors were processed with patient and PDX pipelines respectively. XDGs indicate differentially expressed genes between paired donor/PDX tumors after excluding previously identified genes that are sensitive to pipeline differences. ( a ) MA plot with XDGs in red; ( b ) Box plot of correlation coefficients of paired PDX-donor tumors before and after removing XDGs; ( c ) Hierarchical clustering of donor/PDX tumor pairs before removing XDGs; ( d ) Hierarchical clustering of donor/PDX tumor pairs after removing XDGs. Patient hetrotransplant (PH) numbers represent a single tumor line and the suffix indicates either the patient donor (P) or corresponding xenograft (PDX).

Journal: Scientific Reports

Article Title: Gene expression differences between matched pairs of ovarian cancer patient tumors and patient-derived xenografts

doi: 10.1038/s41598-019-42680-2

Figure Lengend Snippet: Expression differences of donor-PDX tumor pairs and impact on transcriptome pair similarity. RNASeq for nine pairs of donor/PDX tumors were processed with patient and PDX pipelines respectively. XDGs indicate differentially expressed genes between paired donor/PDX tumors after excluding previously identified genes that are sensitive to pipeline differences. ( a ) MA plot with XDGs in red; ( b ) Box plot of correlation coefficients of paired PDX-donor tumors before and after removing XDGs; ( c ) Hierarchical clustering of donor/PDX tumor pairs before removing XDGs; ( d ) Hierarchical clustering of donor/PDX tumor pairs after removing XDGs. Patient hetrotransplant (PH) numbers represent a single tumor line and the suffix indicates either the patient donor (P) or corresponding xenograft (PDX).

Article Snippet: A PDX RNAseq analysis pipeline was devised based on Xenome and a standard patient tumor pipeline (Fig. ).

Techniques: Expressing