from The Science Web by jovialscientist
Genomics researchers were astonished to learn on Tuesday that, not only do microarrays still exist, but people still use them.
“I was utterly gobsmacked” said Dr Farr Sickle of UC Davis, California. “I nearly fell off my stool. Microarrays? Really?! I’d forgotten about those!”
Microarrays were a technology invented in the UK during the industrial revolution (c 1760 – 1820) and were produced using steam-powered printing presses in large factories near Manchester. The “technology” featured brightly coloured dots that were lit up at random and which bore no relation to any useful measure whatsoever. Despite this, microarrays were popular amongst bioinformaticians who could use the data to fool real scientists into thinking they were geniuses.
“Ah, I remember the days!” a source at the International Society for Computational Biology (ISCB) said. “We used to have entire 5-day conferences devoted to figuring out what on earth the data meant. Then we figured out it was completely random. Those were the days”
In recent years, RNA sequencing (RNA-Seq) has been favoured over microarrays. This new technology, using next-generation sequencing, is slightly more accurate, and nations have recently declared war over which is the best aligner to use.
In a recent poll, 98% of researchers answered “next-generation sequencing” to every single question – even their name, age and job title. The new science of “sequence first, think later” has been coined “nextgenomics”.
(read more…)
from The Science Web by jovialscientist
Genomics researchers were astonished to learn on Tuesday that, not only do microarrays still exist, but people still use them.
“I was utterly gobsmacked” said Dr Farr Sickle of UC Davis, California. “I nearly fell off my stool. Microarrays? Really?! I’d forgotten about those!”
Microarrays were a technology invented in the UK during the industrial revolution (c 1760 – 1820) and were produced using steam-powered printing presses in large factories near Manchester. The “technology” featured brightly coloured dots that were lit up at random and which bore no relation to any useful measure whatsoever. Despite this, microarrays were popular amongst bioinformaticians who could use the data to fool real scientists into thinking they were geniuses.
“Ah, I remember the days!” a source at the International Society for Computational Biology (ISCB) said. “We used to have entire 5-day conferences devoted to figuring out what on earth the data meant. Then we figured out it was completely random. Those were the days”
In recent years, RNA sequencing (RNA-Seq) has been favoured over microarrays. This new technology, using next-generation sequencing, is slightly more accurate, and nations have recently declared war over which is the best aligner to use.
In a recent poll, 98% of researchers answered “next-generation sequencing” to every single question – even their name, age and job title. The new science of “sequence first, think later” has been coined “nextgenomics”.
(read more…)
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from The Science Web by jovialscientist
Genomics researchers were astonished to learn on Tuesday that, not only do microarrays still exist, but people still use them.
“I was utterly gobsmacked” said Dr Farr Sickle of UC Davis, California. “I nearly fell off my stool. Microarrays? Really?! I’d forgotten about those!”
Microarrays were a technology invented in the UK during the industrial revolution (c 1760 – 1820) and were produced using steam-powered printing presses in large factories near Manchester. The “technology” featured brightly coloured dots that were lit up at random and which bore no relation to any useful measure whatsoever. Despite this, microarrays were popular amongst bioinformaticians who could use the data to fool real scientists into thinking they were geniuses.
“Ah, I remember the days!” a source at the International Society for Computational Biology (ISCB) said. “We used to have entire 5-day conferences devoted to figuring out what on earth the data meant. Then we figured out it was completely random. Those were the days”
In recent years, RNA sequencing (RNA-Seq) has been favoured over microarrays. This new technology, using next-generation sequencing, is slightly more accurate, and nations have recently declared war over which is the best aligner to use.
In a recent poll, 98% of researchers answered “next-generation sequencing” to every single question – even their name, age and job title. The new science of “sequence first, think later” has been coined “nextgenomics”.
(read more…)
Related Posts
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Atlas of the brain’s striatum could guide researchers to new drug treatments
Immune cells offer insights on billion-dollar virus
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Unlocking the past – new method helps gain insights into old tissue
Novel AI model trained on RNA-Seq data accurately detects key gene mutations and predicts biomarkers across 32 cancer types
Transcriptomic aging clock reveals age-related molecular patterns in opioid dependence
RNA sequencing helps predict stem cell transplant benefit in pediatric AML
Protein ‘switch’ determines whether liposarcoma cells will become aggressive
Precursor tRNAs sense temperature changes: heat stress-induced capped pre-tRNAs suppress protein synthesis
Ketamine increases neuroplasticity in female mice but not in males
Somatic mutations linked to vascular damage in progeria
Scientists map dormant cancer cells’ hideouts, opening new targets for treatment
Soluble signals released by neighboring cells direct how the human kidney is built
Genetics influence how cancer arises – and how it evolves
RNA-based testing uncovers extraordinary diversity in mutations driving lung cancer
Study offers new insights into why ex-smokers remain at elevated risk of lung disease
Learning the grammar of gene regulation
New findings could transform new treatment for rare brain tumor astroblastoma
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