Literature DB >> 9088705

Recognition of 3'-processing sites of human mRNA precursors.

A A Salamov1, V V Solovyev.   

Abstract

We have developed a computer program POLYAH and an algorithm for the identification of 3'-processing sites of human mRNA precursors. The algorithm is based on a linear discriminant function (LDF) trained to discriminate real poly(A) signal regions from the other regions of human genes possessing the AATAAA sequence which is most likely non-functional. As the parameters of LDF, various significant contextual characteristics of sequences surrounding AATAAA signals were used. An accuracy of method has been estimated on a set of 131 poly(A) regions and 1466 regions of human genes having the AATAAA sequence. When the threshold was set to predict 86% of poly(A) regions correctly, specificity of 51% and correlation coefficient of 0.62 had been achieved. The precision of this approach is better than for the other methods and has been tested on a larger data set. POLYAH can be used through World Wide Web (at Gene-Finder Home page: URL http:@dot.imgen.bcm.tmc.edu:9331/gene-finder/ gf.html) or by sending files with uncharacterized human sequences to the University of Houston or Weizmann Institute of Science e-mail servers.

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Year:  1997        PMID: 9088705     DOI: 10.1093/bioinformatics/13.1.23

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  16 in total

1.  Patterns of variant polyadenylation signal usage in human genes.

Authors:  E Beaudoing; S Freier; J R Wyatt; J M Claverie; D Gautheret
Journal:  Genome Res       Date:  2000-07       Impact factor: 9.043

2.  DeepPASTA: deep neural network based polyadenylation site analysis.

Authors:  Ashraful Arefeen; Xinshu Xiao; Tao Jiang
Journal:  Bioinformatics       Date:  2019-11-01       Impact factor: 6.937

3.  Comparative genome sequence analysis of the Bpa/Str region in mouse and Man.

Authors:  A M Mallon; M Platzer; R Bate; G Gloeckner; M R Botcherby; G Nordsiek; M A Strivens; P Kioschis; A Dangel; D Cunningham; R N Straw; P Weston; M Gilbert; S Fernando; K Goodall; G Hunter; J S Greystrong; D Clarke; C Kimberley; M Goerdes; K Blechschmidt; A Rump; B Hinzmann; C R Mundy; W Miller; A Poustka; G E Herman; M Rhodes; P Denny; A Rosenthal; S D Brown
Journal:  Genome Res       Date:  2000-06       Impact factor: 9.043

4.  Probabilistic prediction of Saccharomyces cerevisiae mRNA 3'-processing sites.

Authors:  Joel H Graber; Gregory D McAllister; Temple F Smith
Journal:  Nucleic Acids Res       Date:  2002-04-15       Impact factor: 16.971

5.  A probabilistic model of 3' end formation in Caenorhabditis elegans.

Authors:  Ashwin Hajarnavis; Ian Korf; Richard Durbin
Journal:  Nucleic Acids Res       Date:  2004-06-24       Impact factor: 16.971

6.  POLYAR, a new computer program for prediction of poly(A) sites in human sequences.

Authors:  Malik Nadeem Akhtar; Syed Abbas Bukhari; Zeeshan Fazal; Raheel Qamar; Ilham A Shahmuradov
Journal:  BMC Genomics       Date:  2010-11-19       Impact factor: 3.969

7.  Dragon PolyA Spotter: predictor of poly(A) motifs within human genomic DNA sequences.

Authors:  Manal Kalkatawi; Farania Rangkuti; Michael Schramm; Boris R Jankovic; Allan Kamau; Rajesh Chowdhary; John A C Archer; Vladimir B Bajic
Journal:  Bioinformatics       Date:  2011-11-15       Impact factor: 6.937

8.  Genome-wide identification and predictive modeling of tissue-specific alternative polyadenylation.

Authors:  Dina Hafez; Ting Ni; Sayan Mukherjee; Jun Zhu; Uwe Ohler
Journal:  Bioinformatics       Date:  2013-07-01       Impact factor: 6.937

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.  Characterization of mannitol-2-dehydrogenase in Saccharina japonica: evidence for a new polyol-specific long-chain dehydrogenases/reductase.

Authors:  Zhanru Shao; Pengyan Zhang; Qiuying Li; Xiuliang Wang; Delin Duan
Journal:  PLoS One       Date:  2014-05-15       Impact factor: 3.240

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