MOESM3 of Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke

Additional file 3: of Genome-wide analysis of differential transcriptional and epigenetic variability across human immune cell types

Simone Ecker (279216)
Lu Chen (75170)
Vera Pancaldi (3484688)
Frederik Bagger (3553598)
JosĂŠ FernĂĄndez (3698542)
Enrique Carrillo de Santa Pau (3698512)
David Juan (19252)
Alice Mann (3698506)
Stephen Watt (377395)
Francesco Casale (3698509)
Nikos Sidiropoulos (3698515)
Nicolas Rapin (365497)
Angelika Merkel (3698500)
Hendrik Stunnenberg (3423284)
Oliver Stegle (170916)
Mattia Frontini (747672)
Kate Downes (242215)
Tomi Pastinen (15737)
Taco Kuijpers (452304)
Daniel Rico (25042)
Alfonso Valencia (1343)
Stephan Beck (5246)
Nicole Soranzo (12361)
Dirk Paul (3428945)

January 2017

Gene ontology enrichment of genes showing hypervariable expression. Ontology enrichment analysis of ...

MOESM3 of ADMIRE: analysis and visualization of differential methylation in genomic regions using the Infinium HumanMethylation450 Assay

Jens Preussner (844763)
Julia Bayer (3493787)
Carsten Kuenne (206844)
Mario Looso (402639)

December 2015

Additional file 3. ADMIRE documentation. The documentation provides description of all available par...

A novel hypothesis-unbiased method for Gene Ontology enrichment based on transcriptome data

Fruzangohar, M
Ebrahimie, E
Adelson, DL

February 2017

Gene Ontology (GO) classification of statistically significantly differentially expressed genes is c...

MOESM4 of Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke

Rongjun Zou (6332564)
Dingwen Zhang (6332570)
Lei Lv (169816)
Wanting Shi (6332579)
Zijiao Song (6332585)
Bin Yi (137660)
Bingjia Lai (6332588)
Qian Chen (18883)
Songran Yang (6332597)
Ping Hua (633016)

February 2019

Additional file 4: S4. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis am...

MOESM3 of Identification of genes and pathways potentially related to PHF20 by gene expression profile analysis of glioblastoma U87 cell line

Tianlong Liu (1578268)
Tiejun Zhang (224265)
Feng Zhou (76988)
Jitao Wang (195473)
Xiaohu Zhai (4493071)
Nan Mu (286448)
Jongsun Park (37753)
Minna Liu (4493068)
Wenxing Liu (190260)
Peijin Shang (4493065)
Yi Ding (172783)
Aidong Wen (620073)
Yuwen Li (135700)

October 2017

Additional file 3. Significant gene ontology (GO) analysis of differentially expressed genes (DEGs) ...

Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke

Rongjun Zou
Dingwen Zhang
Lei Lv
Wanting Shi
Zijiao Song
Bin Yi
Bingjia Lai
Qian Chen
Songran Yang
Ping Hua

February 2019

Abstract Background Atrial fibrillation (AF) is one of the most prevalent sustained arrhythmias, how...

Integrated Analysis of Expression Profile Based on Differentially Expressed Genes in Middle Cerebral Artery Occlusion Animal Models

Huaqiang Zhou
Zeting Qiu
Shaowei Gao
Qinchang Chen
Si Li
Wulin Tan
Xiaochen Liu
Zhongxing Wang

May 2016

Stroke is one of the most common causes of death, only second to heart disease. Molecular investigat...

MOESM3 of Analysis of PD-1 related immune transcriptional profile in different cancer types

Jun Shang (1818454)
Qian Song (703098)
Zuyi Yang (6161654)
Xiaoyan Sun (28501)
Meijuan Xue (6161657)
Wenjie Chen (130753)
Jingcheng Yang (671953)
Sihua Wang (307155)

December 2018

Additional file 3: Fig. S3. The immune related GO terms analysis of each type of cancer

MOESM3 of Adverse effects of Hif1a mutation and maternal diabetes on the offspring heart

Radka Cerychova (4331518)
Romana Bohuslavova (4331527)
Frantisek Papousek (5213261)
David Sedmera (636625)
Pavel Abaffy (5213264)
Vladimir Benes (47121)
Frantisek Kolar (128789)
Gabriela Pavlinkova (4331521)

May 2018

Additional file 3: Table S3. Bioinformatics classification of differentially expressed genes

MOESM3 of Porcine single nucleotide polymorphisms and their functional effect: an update

B. Keel (6050285)
D. Nonneman (6050288)
A. Lindholm-Perry (3620141)
W. Oliver (6050291)
G. Rohrer (6050294)

December 2018

Additional file 3: Table S3. Significantly enriched gene ontology (GO) terms in the set of genes con...

Identification of potential crucial genes in monocytes for atherosclerosis using bioinformatics analysis

Yuan-Meng Zhang
Ling-Bing Meng
Si-Jun Yu
Dong-Xing Ma

April 2020

Objective To use bioinformatics tools to screen for gene biomarkers from monocytes, which play an im...

MOESM3 of Motif signatures in stretch enhancers are enriched for disease-associated genetic variants

Daniel Quang (3563432)
Michael Erdos (3563438)
Stephen Parker (3563435)
Francis Collins (63274)

July 2015

Additional file 3: CentriMo scans of DHS sequences with database motifs. Zip archive of text outputs...

Analysis of gene ontology (GO) functional enrichment of differentially expressed BN3 VS mock, BN34 VS mock, and BN34 VS BN3 genes.

Huiyan Fan (508099)
Haiwen Sun (508100)
Ying Wang (11406)
Yongliang Zhang (122202)
Xianbing Wang (401137)
Dawei Li (5704)
Jialin Yu (131558)
Chenggui Han (131557)

January 2014

<p>The functions of genes identified cover three main categories: biological processes, cellular com...

KEGG and Gene Ontology Pathway analysis of the downregulated genes in the brain

Aluru, Neelakanteswar
Karchner, Sibel I.
Glazer, Lilah

September 2017

This file contains the list of genes associated with each enriched KEGG and GO terms in the whole br...

Table3_Expression pattern and clinical value of Key RNA methylation modification regulators in ischemic stroke.DOCX

Xinyue Zhang (271120)
Yuanlin Wang (4732155)
Beibei Dong (7366286)
Yi Jiang (40197)
Dan Liu (108669)
Keliang Xie (471460)
Yonghao Yu (471461)

October 2022

Ischemic stroke (IS) is one of the major causes of death and disability worldwide, and effective dia...

Additional file 3: of Genome-wide analysis of differential transcriptional and epigenetic variability across human immune cell types

Simone Ecker (279216)
Lu Chen (75170)
Vera Pancaldi (3484688)
Frederik Bagger (3553598)
JosĂŠ FernĂĄndez (3698542)
Enrique Carrillo de Santa Pau (3698512)
David Juan (19252)
Alice Mann (3698506)
Stephen Watt (377395)
Francesco Casale (3698509)
Nikos Sidiropoulos (3698515)
Nicolas Rapin (365497)
Angelika Merkel (3698500)
Hendrik Stunnenberg (3423284)
Oliver Stegle (170916)
Mattia Frontini (747672)
Kate Downes (242215)
Tomi Pastinen (15737)
Taco Kuijpers (452304)
Daniel Rico (25042)
Alfonso Valencia (1343)
Stephan Beck (5246)
Nicole Soranzo (12361)
Dirk Paul (3428945)

January 2017

Gene ontology enrichment of genes showing hypervariable expression. Ontology enrichment analysis of ...

MOESM3 of ADMIRE: analysis and visualization of differential methylation in genomic regions using the Infinium HumanMethylation450 Assay

Jens Preussner (844763)
Julia Bayer (3493787)
Carsten Kuenne (206844)
Mario Looso (402639)

December 2015

Additional file 3. ADMIRE documentation. The documentation provides description of all available par...

A novel hypothesis-unbiased method for Gene Ontology enrichment based on transcriptome data

Fruzangohar, M
Ebrahimie, E
Adelson, DL

February 2017

Gene Ontology (GO) classification of statistically significantly differentially expressed genes is c...

MOESM4 of Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke

Rongjun Zou (6332564)
Dingwen Zhang (6332570)
Lei Lv (169816)
Wanting Shi (6332579)
Zijiao Song (6332585)
Bin Yi (137660)
Bingjia Lai (6332588)
Qian Chen (18883)
Songran Yang (6332597)
Ping Hua (633016)

February 2019

Additional file 4: S4. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis am...

MOESM3 of Identification of genes and pathways potentially related to PHF20 by gene expression profile analysis of glioblastoma U87 cell line

Tianlong Liu (1578268)
Tiejun Zhang (224265)
Feng Zhou (76988)
Jitao Wang (195473)
Xiaohu Zhai (4493071)
Nan Mu (286448)
Jongsun Park (37753)
Minna Liu (4493068)
Wenxing Liu (190260)
Peijin Shang (4493065)
Yi Ding (172783)
Aidong Wen (620073)
Yuwen Li (135700)

October 2017

Additional file 3. Significant gene ontology (GO) analysis of differentially expressed genes (DEGs) ...

Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke

Rongjun Zou
Dingwen Zhang
Lei Lv
Wanting Shi
Zijiao Song
Bin Yi
Bingjia Lai
Qian Chen
Songran Yang
Ping Hua

February 2019

Abstract Background Atrial fibrillation (AF) is one of the most prevalent sustained arrhythmias, how...

Integrated Analysis of Expression Profile Based on Differentially Expressed Genes in Middle Cerebral Artery Occlusion Animal Models

Huaqiang Zhou
Zeting Qiu
Shaowei Gao
Qinchang Chen
Si Li
Wulin Tan
Xiaochen Liu
Zhongxing Wang

May 2016

Stroke is one of the most common causes of death, only second to heart disease. Molecular investigat...

MOESM3 of Analysis of PD-1 related immune transcriptional profile in different cancer types

Jun Shang (1818454)
Qian Song (703098)
Zuyi Yang (6161654)
Xiaoyan Sun (28501)
Meijuan Xue (6161657)
Wenjie Chen (130753)
Jingcheng Yang (671953)
Sihua Wang (307155)

December 2018

Additional file 3: Fig. S3. The immune related GO terms analysis of each type of cancer

MOESM3 of Adverse effects of Hif1a mutation and maternal diabetes on the offspring heart

Radka Cerychova (4331518)
Romana Bohuslavova (4331527)
Frantisek Papousek (5213261)
David Sedmera (636625)
Pavel Abaffy (5213264)
Vladimir Benes (47121)
Frantisek Kolar (128789)
Gabriela Pavlinkova (4331521)

May 2018

Additional file 3: Table S3. Bioinformatics classification of differentially expressed genes

MOESM3 of Porcine single nucleotide polymorphisms and their functional effect: an update

B. Keel (6050285)
D. Nonneman (6050288)
A. Lindholm-Perry (3620141)
W. Oliver (6050291)
G. Rohrer (6050294)

December 2018

Additional file 3: Table S3. Significantly enriched gene ontology (GO) terms in the set of genes con...

Identification of potential crucial genes in monocytes for atherosclerosis using bioinformatics analysis

Yuan-Meng Zhang
Ling-Bing Meng
Si-Jun Yu
Dong-Xing Ma

April 2020

Objective To use bioinformatics tools to screen for gene biomarkers from monocytes, which play an im...

MOESM3 of Motif signatures in stretch enhancers are enriched for disease-associated genetic variants

Daniel Quang (3563432)
Michael Erdos (3563438)
Stephen Parker (3563435)
Francis Collins (63274)

July 2015

Additional file 3: CentriMo scans of DHS sequences with database motifs. Zip archive of text outputs...

Analysis of gene ontology (GO) functional enrichment of differentially expressed BN3 VS mock, BN34 VS mock, and BN34 VS BN3 genes.

Huiyan Fan (508099)
Haiwen Sun (508100)
Ying Wang (11406)
Yongliang Zhang (122202)
Xianbing Wang (401137)
Dawei Li (5704)
Jialin Yu (131558)
Chenggui Han (131557)

January 2014

<p>The functions of genes identified cover three main categories: biological processes, cellular com...

KEGG and Gene Ontology Pathway analysis of the downregulated genes in the brain

Aluru, Neelakanteswar
Karchner, Sibel I.
Glazer, Lilah

September 2017

This file contains the list of genes associated with each enriched KEGG and GO terms in the whole br...

Table3_Expression pattern and clinical value of Key RNA methylation modification regulators in ischemic stroke.DOCX

Xinyue Zhang (271120)
Yuanlin Wang (4732155)
Beibei Dong (7366286)
Yi Jiang (40197)
Dan Liu (108669)
Keliang Xie (471460)
Yonghao Yu (471461)

October 2022

Ischemic stroke (IS) is one of the major causes of death and disability worldwide, and effective dia...

Additional file 3: of Genome-wide analysis of differential transcriptional and epigenetic variability across human immune cell types

Simone Ecker (279216)
Lu Chen (75170)
Vera Pancaldi (3484688)
Frederik Bagger (3553598)
JosĂŠ FernĂĄndez (3698542)
Enrique Carrillo de Santa Pau (3698512)
David Juan (19252)
Alice Mann (3698506)
Stephen Watt (377395)
Francesco Casale (3698509)
Nikos Sidiropoulos (3698515)
Nicolas Rapin (365497)
Angelika Merkel (3698500)
Hendrik Stunnenberg (3423284)
Oliver Stegle (170916)
Mattia Frontini (747672)
Kate Downes (242215)
Tomi Pastinen (15737)
Taco Kuijpers (452304)
Daniel Rico (25042)
Alfonso Valencia (1343)
Stephan Beck (5246)
Nicole Soranzo (12361)
Dirk Paul (3428945)

January 2017

Gene ontology enrichment of genes showing hypervariable expression. Ontology enrichment analysis of ...

MOESM3 of ADMIRE: analysis and visualization of differential methylation in genomic regions using the Infinium HumanMethylation450 Assay

Jens Preussner (844763)
Julia Bayer (3493787)
Carsten Kuenne (206844)
Mario Looso (402639)

December 2015

Additional file 3. ADMIRE documentation. The documentation provides description of all available par...

A novel hypothesis-unbiased method for Gene Ontology enrichment based on transcriptome data

Fruzangohar, M
Ebrahimie, E
Adelson, DL

February 2017

Gene Ontology (GO) classification of statistically significantly differentially expressed genes is c...

MOESM3 of Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke

Abstract

Extracted data

MOESM3 of Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke

Abstract

Extracted data

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