45 related articles for article (PubMed ID: 12883652)
1. Nucleotides in both donor and acceptor splice sites are responsible for choice in NAGNAG tandem splice sites.
Hujová P; Souček P; Radová L; Kramárek M; Kováčová T; Freiberger T
Cell Mol Life Sci; 2021 Nov; 78(21-22):6979-6993. PubMed ID: 34596691
[TBL] [Abstract][Full Text] [Related]
2. A non-EST-based method for exon-skipping prediction.
Sorek R; Shemesh R; Cohen Y; Basechess O; Ast G; Shamir R
Genome Res; 2004 Aug; 14(8):1617-23. PubMed ID: 15289480
[TBL] [Abstract][Full Text] [Related]
3. Non-EST based prediction of exon skipping and intron retention events using Pfam information.
Hiller M; Huse K; Platzer M; Backofen R
Nucleic Acids Res; 2005; 33(17):5611-21. PubMed ID: 16204458
[TBL] [Abstract][Full Text] [Related]
4. Splice site recognition - deciphering Exon-Intron transitions for genetic insights using Enhanced integrated Block-Level gated LSTM model.
Sha M; Parveen Rahamathulla M
Gene; 2024 Jul; 915():148429. PubMed ID: 38575098
[TBL] [Abstract][Full Text] [Related]
5. Clinical, splicing, and functional analysis to classify BRCA2 exon 3 variants: Application of a points-based ACMG/AMP approach.
Thomassen M; Mesman RLS; Hansen TVO; Menendez M; Rossing M; Esteban-Sánchez A; Tudini E; Törngren T; Parsons MT; Pedersen IS; Teo SH; Kruse TA; Møller P; Borg Å; Jensen UB; Christensen LL; Singer CF; Muhr D; Santamarina M; Brandao R; Andresen BS; Feng BJ; Canson D; Richardson ME; Karam R; Pesaran T; LaDuca H; Conner BR; Abualkheir N; Hoang L; Calléja FMGR; Andrews L; James PA; Bunyan D; Hamblett A; Radice P; Goldgar DE; Walker LC; Engel C; Claes KBM; Macháčková E; Baralle D; Viel A; Wappenschmidt B; Lazaro C; Vega A; ; Vreeswijk MPG; de la Hoya M; Spurdle AB
Hum Mutat; 2022 Dec; 43(12):1921-1944. PubMed ID: 35979650
[TBL] [Abstract][Full Text] [Related]
6. In silico identification of pseudo-exon activation events in personal genome and transcriptome data.
Sakaguchi N; Suyama M
RNA Biol; 2021 Mar; 18(3):382-390. PubMed ID: 32865117
[TBL] [Abstract][Full Text] [Related]
7. RCDA: a highly sensitive and specific alternatively spliced transcript assembly tool featuring upstream consecutive exon structures.
Sturgeon XH; Gardiner KJ
Genomics; 2012 Dec; 100(6):357-62. PubMed ID: 22971325
[TBL] [Abstract][Full Text] [Related]
8. Large-scale analysis reveals splicing biomarkers for tuberculosis progression and prognosis.
Lai H; Lyu M; Ruan H; Liu Y; Liu T; Lei S; Xiao Y; Zhang S; Ying B
Comput Biol Med; 2024 Mar; 171():108187. PubMed ID: 38402840
[TBL] [Abstract][Full Text] [Related]
9. CaTCH: Calculating transcript complexity of human genes.
Basu K; Dey A; Kiran M
MethodsX; 2024 Jun; 12():102697. PubMed ID: 38638454
[TBL] [Abstract][Full Text] [Related]
10. Quantitative imaging of single mRNA splice variants in living cells.
Lee K; Cui Y; Lee LP; Irudayaraj J
Nat Nanotechnol; 2014 Jun; 9(6):474-80. PubMed ID: 24747838
[TBL] [Abstract][Full Text] [Related]
11. Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients.
Cangelosi D; Muselli M; Parodi S; Blengio F; Becherini P; Versteeg R; Conte M; Varesio L
BMC Bioinformatics; 2014; 15 Suppl 5(Suppl 5):S4. PubMed ID: 25078098
[TBL] [Abstract][Full Text] [Related]
12. Exogenous hormonal regulation in breast cancer cells by phytoestrogens and endocrine disruptors.
Albini A; Rosano C; Angelini G; Amaro A; Esposito AI; Maramotti S; Noonan DM; Pfeffer U
Curr Med Chem; 2014; 21(9):1129-45. PubMed ID: 24304271
[TBL] [Abstract][Full Text] [Related]
13. Logic Learning Machine creates explicit and stable rules stratifying neuroblastoma patients.
Cangelosi D; Blengio F; Versteeg R; Eggert A; Garaventa A; Gambini C; Conte M; Eva A; Muselli M; Varesio L
BMC Bioinformatics; 2013; 14 Suppl 7(Suppl 7):S12. PubMed ID: 23815266
[TBL] [Abstract][Full Text] [Related]
14. Analysis of estrogen receptor isoforms and variants in breast cancer cell lines.
Al-Bader M; Ford C; Al-Ayadhy B; Francis I
Exp Ther Med; 2011 May; 2(3):537-544. PubMed ID: 22977537
[TBL] [Abstract][Full Text] [Related]
15. Estrogen receptors and the regulation of neural stress responses.
Handa RJ; Mani SK; Uht RM
Neuroendocrinology; 2012; 96(2):111-8. PubMed ID: 22538291
[TBL] [Abstract][Full Text] [Related]
16. Identification of novel transcript variants of estrogen receptor α, β and progesterone receptor gene in human endometrium.
Springwald A; Lattrich C; Skrzypczak M; Goerse R; Ortmann O; Treeck O
Endocrine; 2010 Jun; 37(3):415-24. PubMed ID: 20960162
[TBL] [Abstract][Full Text] [Related]
17. Alternative splicing of transcription factors' genes: beyond the increase of proteome diversity.
Talavera D; Orozco M; de la Cruz X
Comp Funct Genomics; 2009; 2009():905894. PubMed ID: 19609452
[TBL] [Abstract][Full Text] [Related]
18. Transcriptional interaction of an estrogen receptor splice variant and ErbB4 suggests convergence in gene susceptibility pathways in schizophrenia.
Wong J; Weickert CS
J Biol Chem; 2009 Jul; 284(28):18824-32. PubMed ID: 19439407
[TBL] [Abstract][Full Text] [Related]
19. Alternative splicing of the human estrogen receptor alpha primary transcript: mechanisms of exon skipping.
Ferro P; Forlani A; Muselli M; Pfeffer U
Int J Mol Med; 2003 Sep; 12(3):355-63. PubMed ID: 12883652
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]