Literature DB >> 3131534

The analysis of intron data and their use in the detection of short signals.

P J Avery1.   

Abstract

In order to examine whether certain short DNA sequences (putative splice signals) occurred in a certain region of an intron more often than would be expected by chance, intron data were examined to see what structure they took. There were significant departures from equal nucleotide frequency, and successive nucleotides clearly did not occur independently in the rat and mouse introns examined. The nonindependence was mainly due to a CG shortage and a less marked TA shortage. However the pairwise frequencies explained almost all the variability in triplet frequencies in the data and so the data could be approximately modeled by using nucleotide frequencies conditional on what the previous nucleotide was. Some coding DNA was also examined and the pairs in second and third positions, and third and first positions in a codon, showed similar departures from independence to those of the intron data. Using the probability model derived for intron data, expected frequencies of putative signals were derived and compared with the observed frequencies.

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Year:  1987        PMID: 3131534     DOI: 10.1007/bf02101152

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  18 in total

1.  Enzymatic synthesis of deoxyribonucleic acid. VIII. Frequencies of nearest neighbor base sequences in deoxyribonucleic acid.

Authors:  J JOSSE; A D KAISER; A KORNBERG
Journal:  J Biol Chem       Date:  1961-03       Impact factor: 5.157

2.  A statistical analysis of nucleotide sequences of introns and exons in human genes.

Authors:  M Bulmer
Journal:  Mol Biol Evol       Date:  1987-07       Impact factor: 16.240

3.  Codon usage tabulated from the GenBank genetic sequence data.

Authors:  T Maruyama; T Gojobori; S Aota; T Ikemura
Journal:  Nucleic Acids Res       Date:  1986       Impact factor: 16.971

4.  Evidence for the biochemical role of an internal sequence in yeast nuclear mRNA introns: implications for U1 RNA and metazoan mRNA splicing.

Authors:  C W Pikielny; J L Teem; M Rosbash
Journal:  Cell       Date:  1983-09       Impact factor: 41.582

5.  Cloning and sequence analysis of cDNA for bovine adrenal preproenkephalin.

Authors:  M Noda; Y Furutani; H Takahashi; M Toyosato; T Hirose; S Inayama; S Nakanishi; S Numa
Journal:  Nature       Date:  1982-01-21       Impact factor: 49.962

6.  Doublet frequencies in evolutionary distinct groups.

Authors:  R Nussinov
Journal:  Nucleic Acids Res       Date:  1984-02-10       Impact factor: 16.971

7.  Cryptic simplicity in DNA is a major source of genetic variation.

Authors:  D Tautz; M Trick; G A Dover
Journal:  Nature       Date:  1986 Aug 14-20       Impact factor: 49.962

8.  Nucleotide sequence of the rat skeletal muscle actin gene.

Authors:  R Zakut; M Shani; D Givol; S Neuman; D Yaffe; U Nudel
Journal:  Nature       Date:  1982-08-26       Impact factor: 49.962

9.  The genes coding for histone H3 and H4 in Neurospora crassa are unique and contain intervening sequences.

Authors:  L P Woudt; A Pastink; A E Kempers-Veenstra; A E Jansen; W H Mager; R J Planta
Journal:  Nucleic Acids Res       Date:  1983-08-25       Impact factor: 16.971

10.  Evidence for an intron-contained sequence required for the splicing of yeast RNA polymerase II transcripts.

Authors:  C J Langford; D Gallwitz
Journal:  Cell       Date:  1983-06       Impact factor: 41.582

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  7 in total

1.  Statistical tests of models of DNA substitution.

Authors:  N Goldman
Journal:  J Mol Evol       Date:  1993-02       Impact factor: 2.395

2.  Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics.

Authors:  Jie Ren; Kai Song; Minghua Deng; Gesine Reinert; Charles H Cannon; Fengzhu Sun
Journal:  Bioinformatics       Date:  2015-06-30       Impact factor: 6.937

3.  Nucleotide, dinucleotide and trinucleotide frequencies explain patterns observed in chaos game representations of DNA sequences.

Authors:  N Goldman
Journal:  Nucleic Acids Res       Date:  1993-05-25       Impact factor: 16.971

4.  A New Context Tree Inference Algorithm for Variable Length Markov Chain Model with Applications to Biological Sequence Analyses.

Authors:  Shaokun An; Jie Ren; Fengzhu Sun; Lin Wan
Journal:  J Comput Biol       Date:  2022-04-22       Impact factor: 1.549

5.  Confidence intervals for Markov chain transition probabilities based on next generation sequencing reads data.

Authors:  Lin Wan; Xin Kang; Jie Ren; Fengzhu Sun
Journal:  Quant Biol       Date:  2020-05-25

6.  A Markovian analysis of bacterial genome sequence constraints.

Authors:  Aaron D Skewes; Roy D Welch
Journal:  PeerJ       Date:  2013-08-29       Impact factor: 2.984

7.  Optimal choice of word length when comparing two Markov sequences using a χ 2-statistic.

Authors:  Xin Bai; Kujin Tang; Jie Ren; Michael Waterman; Fengzhu Sun
Journal:  BMC Genomics       Date:  2017-10-03       Impact factor: 3.969

  7 in total

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