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"Two scientific papers published this week suggest that there might be many more human genes than thought, or at least that the human genome has hidden levels of complexity that are only starting to be revealed.
Both papers report that human cells make far more RNA, a counterpart of the genetic material DNA, than can be accounted for by the estimated 30,000 to 40,000 human genes."
redux [10.11.01]
The Scientist Human Genes: How Many?
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"Counting human genes ought to be straightforward. Tracking telltale signs--motifs for promoters, translation start sites, splice sites, CpG islands--gene counters must by now be mopping up, finalizing chromosomal locations of every human gene already known, and predicting whereabouts of all the rest. Insert one human genome sequence, turn the bioinformatics crank, and genes gush out like a slot machine jackpot, right?
"No, no, no," says Bo Yuan, of Ohio State University, having a laugh over the idea that computation is all you need to tally genes. To the contrary, states the director of the bioinformatics group in the division of Human Cancer Genetics at Ohio State, trawling for genes is so labor-intensive that several years may pass before researchers possess a highly accurate count."
redux [08.24.01]
The New York Times Human Genome Now Appears More Complicated After All
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"After a humiliating deflation this February, human dignity is on the recovery path, at least as measured by the number of genes in the human genome.
Two new estimates put the likely number of human genes at around 40,000, up by a third from the estimate of about 30,000 in February by the two teams of scientists who decoded the human genome. The low estimate still has its defenders."
redux [01.18.01]
Science Daily With First Comparative Look At Human And Mouse DNA, Joint Genome Institute Team Confirms Gene Estimate"Earlier this year, researchers mapping the human genome estimated that human DNA contains about 30,000 genes. Now, based on the first-ever look at comparable sections of human and mouse DNA, a team of Walnut Creek-based Joint Genome Institute (JGI) scientists has confirmed that estimate as roughly accurate."
""There had been speculation that aligning the human and mouse DNA sequence might reveal many more genes," Stubbs said. "However, if chromosome 19 is indicative of other chromosomes, the estimate of 30,000 genes is fairly accurate.""
BBC Dispute over number of human genes"Two rival teams that cracked the human genome may have underestimated the number of human genes, according to a new computer analysis."
"But the new analysis, published on the website of the journal Genome Biology, has been dismissed by the Sanger Centre, in Cambridgeshire, UK, which was responsible for about a third of the human genome sequencing effort."
""The experimental evidence actually points to 30-40,000 genes," Dr Hubbard told BBC News Online. "I don't believe the argument in this paper that there are a lot more genes. This is an entirely computational paper and I don't think it's very credible.""
redux [05.13.00]
Wired News Amped Geneticists Bet on Genome"Well, they weren't all men, but mostly. The betting in the pub continued, the lowest bet being 29,800 genes placed by Pat Tome and the highest number coming from John Quackenbush at 118,259.
The pool was organized by Erwin Birney, a team leader at the European Bioinformatics Institute. He tried to convince the bartender to oversee the betting, but was told in no uncertain terms that no gambling was allowed in the Cold Spring bar.
Guesses on the number of genes in the human genome have lowered considerably since the mapping of chromosome 21, which researchers found to contain only 225 genes, far fewer than previously predicted. The researchers on the chromosome 21 study predicted their results could mean that there are as few as 40,000 genes in the entire human genome.
"Someone from Incyte will probably show up and bet 150,000," one gambler said."
“Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.”
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