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Free Program Predicts How Troublesome a Genetic Mutation Is 34

Posted by samzenpus
from the giant-misprinted-book-that's-hidden-inside-you dept.
smoothjazz writes "Researchers describe a new, freely available Web-based program called Spliceman for predicting whether genetic mutations are likely to disrupt the splicing of messenger RNA, potentially leading to disease. From the article: 'Spliceman makes its predictions about mutations by calculating that distance. It has successfully predicted the known effect of many mutations. The software has genomic information about 11 species: humans, chimpanzees, rhesus monkeys, mice, rats, dogs, cats, chickens, guinea pigs, frogs, and zebra fish.'"
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Free Program Predicts How Troublesome a Genetic Mutation Is

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  • Inbreeding (Score:5, Funny)

    by j. andrew rogers (774820) on Monday March 05, 2012 @02:08PM (#39250647)

    This app is part of the sex education class in Arkansas!

  • by vlm (69642) on Monday March 05, 2012 @02:10PM (#39250669)

    Rephrased, its a static code analysis tool for mRNA

    http://en.wikipedia.org/wiki/List_of_tools_for_static_code_analysis [wikipedia.org]

    Now taking bets on 10:1 odds that after posting this, some joker adds spliceman to the wiki page. Frankly it probably does belong there.

    Yes, I am one of "those guys" who trys to make my perl scripts Perl::Critic compliant, in addition to running them thru perltidy. The closest thing I know of for Ruby is "laser" and I don't know a good reformatting tool for Ruby.

    • by Samantha Wright (1324923) on Monday March 05, 2012 @02:46PM (#39251241) Homepage Journal
      That's the idea. Of course, mRNA splicing sites are way harder to find than blocks of code (the sequence is described probabilistically, in essence), and it's subtly different between species. Fortunately it's not even remotely Turing-complete; it's closer to a context-free grammar, on the level of parenthesis matching. Which is evaluated in a probabilistic order. With Turing-complete compiler macros. (It's true: all living organisms are secretly written in PL/I.)
  • Call it Mutant Madness, try to find the most troublesome mutant genes, which are indifferent or compatible with other mutations and award skills, points, ...

    Mmmm. Sounds too much like my massive collection of Crazy Bones. Nemminds.

    • Humans aren't very good at the problem of RNA splice site finding, unfortunately. Like Reversi/Othello, it involves detecting a large number of subtle changes in closely-related states that have dramatic downstream effects. The game would consist primarily of looking at a bunch of roughly hill-shaped graphs and trying to determine which ones cross certain thresholds or most closely resemble certain other curves. Computationally those are pretty manageable tasks.
  • This sounds like a great tool for predicting the abilities of new recruits.

  • Ruined by stupid PR (Score:5, Informative)

    by pesho (843750) on Monday March 05, 2012 @02:37PM (#39251139)

    Free Program Predicts How Troublesome a Genetic Mutation Is

    No it doesn't.

    This is yet another case of how stupid PR does damage to otherwise good science. The original paper [pnas.org] (not the PR release) describes a statistical model. The model tells you how likely it is for a mutation to affect splicing. According to ROC curve on figure 4 it isn't nearly as selective or sensitive as you need it to be for any clinical application. It is however a great research tool. The PR article makes another false assumption, by stating that mutations affecting the splicing of an exon invariably cause 'trouble'. In fact it is well established that there is a significant variability in exon usage in perfectly healthy humans (citations below).

    1. Kwan, Tony, David Benovoy, Christel Dias, Scott Gurd, David Serre, Harry Zuzan, Tyson A. Clark, et al. “Heritability of Alternative Splicing in the Human Genome.” Genome Res. 17, no. 8 (August 1, 2007): 1210–1218.
    2. Zhang, Wei, Shiwei Duan, Emily O. Kistner, Wasim K. Bleibel, R. Stephanie Huang, Tyson A. Clark, Tina X. Chen, et al. “Evaluation of Genetic Variation Contributing to Differences in Gene Expression Between Populations.” The American Journal of Human Genetics 82, no. 3 (March 3, 2008): 631–640.

  • by Anonymous Coward

    This is an interesting program, but it's hardly the first (coming from a grad student in Bioinformatics studying variation in the cancer genome). There are a large number of programs attempting to determine the impact of variation in the genome. We use these in our work with the exome (enrichment and sequencing of just the known coding elements in the human genome). A much larger challenge is finding true positive base and indel variation from next-generation sequencing, where alignment and sequencing artif

  • So is this another tool the insurance companies could potentially use for genetic profiling...and at no additional cost to them? :/

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