Literature DB >> 36266399

Motif and conserved module analysis in DNA (promoters, enhancers) and RNA (lncRNA, mRNA) using AlModules.

Muharrem Aydinli1, Chunguang Liang1, Thomas Dandekar2.   

Abstract

Nucleic acid motifs consist of conserved and variable nucleotide regions. For functional action, several motifs are combined to modules. The tool AIModules allows identification of such motifs including combinations of them and conservation in several nucleic acid stretches. AIModules recognizes conserved motifs and combinations of motifs (modules) allowing a number of interesting biological applications such as analysis of promoter and transcription factor binding sites (TFBS), identification of conserved modules shared between several gene families, e.g. promoter regions, but also analysis of shared and conserved other DNA motifs such as enhancers and silencers, in mRNA (motifs or regulatory elements e.g. for polyadenylation) and lncRNAs. The tool AIModules presented here is an integrated solution for motif analysis, offered as a Web service as well as downloadable software. Several nucleotide sequences are queried for TFBSs using predefined matrices from the JASPAR DB or by using one's own matrices for diverse types of DNA or RNA motif discovery. Furthermore, AIModules can find TFBSs common to two or more sequences. Demanding high or low conservation, AIModules outperforms other solutions in speed and finds more modules (specific combinations of TFBS) than alternative available software. The application also searches RNA motifs such as polyadenylation site or RNA-protein binding motifs as well as DNA motifs such as enhancers as well as user-specified motif combinations ( https://bioinfo-wuerz.de/aimodules/ ; alternative entry pages: https://aimodules.heinzelab.de or https://www.biozentrum.uni-wuerzburg.de/bioinfo/computing/aimodules ). The application is free and open source whether used online, on-site, or locally.
© 2022. The Author(s).

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 36266399      PMCID: PMC9584888          DOI: 10.1038/s41598-022-21732-0

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  36 in total

1.  PROMO: detection of known transcription regulatory elements using species-tailored searches.

Authors:  Xavier Messeguer; Ruth Escudero; Domènec Farré; Oscar Núñez; Javier Martínez; M Mar Albà
Journal:  Bioinformatics       Date:  2002-02       Impact factor: 6.937

2.  PRODORIC: prokaryotic database of gene regulation.

Authors:  Richard Münch; Karsten Hiller; Heiko Barg; Dana Heldt; Simone Linz; Edgar Wingender; Dieter Jahn
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

3.  Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning.

Authors:  Babak Alipanahi; Andrew Delong; Matthew T Weirauch; Brendan J Frey
Journal:  Nat Biotechnol       Date:  2015-07-27       Impact factor: 54.908

4.  Fitting a mixture model by expectation maximization to discover motifs in biopolymers.

Authors:  T L Bailey; C Elkan
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  1994

5.  Composite Module Analyst: identification of transcription factor binding site combinations using genetic algorithm.

Authors:  T Waleev; D Shtokalo; T Konovalova; N Voss; E Cheremushkin; P Stegmaier; O Kel-Margoulis; E Wingender; A Kel
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

6.  UniPROBE, update 2015: new tools and content for the online database of protein-binding microarray data on protein-DNA interactions.

Authors:  Maxwell A Hume; Luis A Barrera; Stephen S Gisselbrecht; Martha L Bulyk
Journal:  Nucleic Acids Res       Date:  2014-11-05       Impact factor: 16.971

7.  PlantPAN3.0: a new and updated resource for reconstructing transcriptional regulatory networks from ChIP-seq experiments in plants.

Authors:  Chi-Nga Chow; Tzong-Yi Lee; Yu-Cheng Hung; Guan-Zhen Li; Kuan-Chieh Tseng; Ya-Hsin Liu; Po-Li Kuo; Han-Qin Zheng; Wen-Chi Chang
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

8.  Determination and inference of eukaryotic transcription factor sequence specificity.

Authors:  Matthew T Weirauch; Ally Yang; Mihai Albu; Atina G Cote; Alejandro Montenegro-Montero; Philipp Drewe; Hamed S Najafabadi; Samuel A Lambert; Ishminder Mann; Kate Cook; Hong Zheng; Alejandra Goity; Harm van Bakel; Jean-Claude Lozano; Mary Galli; Mathew G Lewsey; Eryong Huang; Tuhin Mukherjee; Xiaoting Chen; John S Reece-Hoyes; Sridhar Govindarajan; Gad Shaulsky; Albertha J M Walhout; François-Yves Bouget; Gunnar Ratsch; Luis F Larrondo; Joseph R Ecker; Timothy R Hughes
Journal:  Cell       Date:  2014-09-11       Impact factor: 41.582

9.  Poly(A) motif prediction using spectral latent features from human DNA sequences.

Authors:  Bo Xie; Boris R Jankovic; Vladimir B Bajic; Le Song; Xin Gao
Journal:  Bioinformatics       Date:  2013-07-01       Impact factor: 6.937

10.  Expanded encyclopaedias of DNA elements in the human and mouse genomes.

Authors:  Jill E Moore; Michael J Purcaro; Henry E Pratt; Charles B Epstein; Noam Shoresh; Jessika Adrian; Trupti Kawli; Carrie A Davis; Alexander Dobin; Rajinder Kaul; Jessica Halow; Eric L Van Nostrand; Peter Freese; David U Gorkin; Yin Shen; Yupeng He; Mark Mackiewicz; Florencia Pauli-Behn; Brian A Williams; Ali Mortazavi; Cheryl A Keller; Xiao-Ou Zhang; Shaimae I Elhajjajy; Jack Huey; Diane E Dickel; Valentina Snetkova; Xintao Wei; Xiaofeng Wang; Juan Carlos Rivera-Mulia; Joel Rozowsky; Jing Zhang; Surya B Chhetri; Jialing Zhang; Alec Victorsen; Kevin P White; Axel Visel; Gene W Yeo; Christopher B Burge; Eric Lécuyer; David M Gilbert; Job Dekker; John Rinn; Eric M Mendenhall; Joseph R Ecker; Manolis Kellis; Robert J Klein; William S Noble; Anshul Kundaje; Roderic Guigó; Peggy J Farnham; J Michael Cherry; Richard M Myers; Bing Ren; Brenton R Graveley; Mark B Gerstein; Len A Pennacchio; Michael P Snyder; Bradley E Bernstein; Barbara Wold; Ross C Hardison; Thomas R Gingeras; John A Stamatoyannopoulos; Zhiping Weng
Journal:  Nature       Date:  2020-07-29       Impact factor: 69.504

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.