165 related articles for article (PubMed ID: 28056781)
1. Meta-analysis reveals conserved cell cycle transcriptional network across multiple human cell types.
Giotti B; Joshi A; Freeman TC
BMC Genomics; 2017 Jan; 18(1):30. PubMed ID: 28056781
[TBL] [Abstract][Full Text] [Related]
2. Transcriptome analysis of cattle muscle identifies potential markers for skeletal muscle growth rate and major cell types.
Guo B; Greenwood PL; Cafe LM; Zhou G; Zhang W; Dalrymple BP
BMC Genomics; 2015 Mar; 16(1):177. PubMed ID: 25887672
[TBL] [Abstract][Full Text] [Related]
3. Evolutionary hallmarks of the human proteome: chasing the age and coregulation of protein-coding genes.
Lopes KP; Campos-Laborie FJ; Vialle RA; Ortega JM; De Las Rivas J
BMC Genomics; 2016 Oct; 17(Suppl 8):725. PubMed ID: 27801289
[TBL] [Abstract][Full Text] [Related]
4. PathCellNet: Cell-type specific pathogen-response network explorer.
Katanic D; Khan A; Thakar J
J Immunol Methods; 2016 Dec; 439():15-22. PubMed ID: 27659011
[TBL] [Abstract][Full Text] [Related]
5. The green ash transcriptome and identification of genes responding to abiotic and biotic stresses.
Lane T; Best T; Zembower N; Davitt J; Henry N; Xu Y; Koch J; Liang H; McGraw J; Schuster S; Shim D; Coggeshall MV; Carlson JE; Staton ME
BMC Genomics; 2016 Sep; 17(1):702. PubMed ID: 27589953
[TBL] [Abstract][Full Text] [Related]
6. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
7. Vitiligo blood transcriptomics provides new insights into disease mechanisms and identifies potential novel therapeutic targets.
Dey-Rao R; Sinha AA
BMC Genomics; 2017 Jan; 18(1):109. PubMed ID: 28129744
[TBL] [Abstract][Full Text] [Related]
8. Large-scale gene co-expression network as a source of functional annotation for cattle genes.
Beiki H; Nejati-Javaremi A; Pakdel A; Masoudi-Nejad A; Hu ZL; Reecy JM
BMC Genomics; 2016 Nov; 17(1):846. PubMed ID: 27806696
[TBL] [Abstract][Full Text] [Related]
9. Reconstruction of gene regulatory modules in cancer cell cycle by multi-source data integration.
Zhang Y; Xuan J; de los Reyes BG; Clarke R; Ressom HW
PLoS One; 2010 Apr; 5(4):e10268. PubMed ID: 20422009
[TBL] [Abstract][Full Text] [Related]
10. Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns.
Baron D; Dubois E; Bihouée A; Teusan R; Steenman M; Jourdon P; Magot A; Péréon Y; Veitia R; Savagner F; Ramstein G; Houlgatte R
BMC Genomics; 2011 Feb; 12():113. PubMed ID: 21324190
[TBL] [Abstract][Full Text] [Related]
11. Comparative Transcriptomic Analysis Reveals Molecular Profiles of Central Nervous System in Maternal Diapause Induction of
Jarwar AR; Hao K; Bitume EV; Ullah H; Cui D; Nong X; Wang G; Tu X; Zhang Z
G3 (Bethesda); 2019 Oct; 9(10):3287-3296. PubMed ID: 31405890
[TBL] [Abstract][Full Text] [Related]
12. Hierarchical cortical transcriptome disorganization in autism.
Lombardo MV; Courchesne E; Lewis NE; Pramparo T
Mol Autism; 2017; 8():29. PubMed ID: 28649314
[TBL] [Abstract][Full Text] [Related]
13. PlaNet: Comparative Co-Expression Network Analyses for Plants.
Proost S; Mutwil M
Methods Mol Biol; 2017; 1533():213-227. PubMed ID: 27987173
[TBL] [Abstract][Full Text] [Related]
14. Meta-signature of human endometrial receptivity: a meta-analysis and validation study of transcriptomic biomarkers.
Altmäe S; Koel M; Võsa U; Adler P; Suhorutšenko M; Laisk-Podar T; Kukushkina V; Saare M; Velthut-Meikas A; Krjutškov K; Aghajanova L; Lalitkumar PG; Gemzell-Danielsson K; Giudice L; Simón C; Salumets A
Sci Rep; 2017 Aug; 7(1):10077. PubMed ID: 28855728
[TBL] [Abstract][Full Text] [Related]
15. Correspondence of D. melanogaster and C. elegans developmental stages revealed by alternative splicing characteristics of conserved exons.
Gao R; Li JJ
BMC Genomics; 2017 Mar; 18(1):234. PubMed ID: 28302059
[TBL] [Abstract][Full Text] [Related]
16. Pan-organ transcriptome variation across 21 cancer types.
Hu W; Yang Y; Li X; Zheng S
Oncotarget; 2017 Jan; 8(4):6809-6818. PubMed ID: 28036280
[TBL] [Abstract][Full Text] [Related]
17. Transcriptome analysis of human OXR1 depleted cells reveals its role in regulating the p53 signaling pathway.
Yang M; Lin X; Rowe A; Rognes T; Eide L; Bjørås M
Sci Rep; 2015 Nov; 5():17409. PubMed ID: 26616534
[TBL] [Abstract][Full Text] [Related]
18. A computational approach to identify cellular heterogeneity and tissue-specific gene regulatory networks.
Jambusaria A; Klomp J; Hong Z; Rafii S; Dai Y; Malik AB; Rehman J
BMC Bioinformatics; 2018 Jun; 19(1):217. PubMed ID: 29940845
[TBL] [Abstract][Full Text] [Related]
19. RNA-Seq analysis of seasonal and individual variation in blood transcriptomes of healthy managed bottlenose dolphins.
Morey JS; Neely MG; Lunardi D; Anderson PE; Schwacke LH; Campbell M; Van Dolah FM
BMC Genomics; 2016 Sep; 17(1):720. PubMed ID: 27608714
[TBL] [Abstract][Full Text] [Related]
20. The transcriptional landscape of basidiosporogenesis in mature Pisolithus microcarpus basidiocarp.
de Freitas Pereira M; Narvaes da Rocha Campos A; Anastacio TC; Morin E; Brommonschenkel SH; Martin F; Kohler A; Costa MD
BMC Genomics; 2017 Feb; 18(1):157. PubMed ID: 28196466
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]