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• W2805909216 abstract "Science and engineering rely on the accumulation and dissemination of knowledge to make discoveries and create new designs. Discovery-driven genome research rests on knowledge passed on via gene annotations. In response to the deluge of sequencing big data, standard annotation practice employs automated procedures that rely on majority rules. We argue this hinders progress through the generation and propagation of errors, leading investigators into blind alleys. More subtly, this inductive process discourages the discovery of novelty, which remains essential in biological research and reflects the nature of biology itself. Annotation systems, rather than being repositories of facts, should be tools that support multiple modes of inference. By combining deduction, induction and abduction, investigators can generate hypotheses when accurate knowledge is extracted from model databases. A key stance is to depart from 'the sequence tells the structure tells the function' fallacy, placing function first. We illustrate our approach with examples of critical or unexpected pathways, using MicroScope to demonstrate how tools can be implemented following the principles we advocate. We end with a challenge to the reader." @default.
• W2805909216 created "2018-06-13" @default.
• W2805909216 creator A5022717154 @default.
• W2805909216 creator A5055802741 @default.
• W2805909216 creator A5083255721 @default.
• W2805909216 creator A5088630634 @default.
• W2805909216 date "2018-05-28" @default.
• W2805909216 modified "2023-10-16" @default.
• W2805909216 title "No wisdom in the crowd: genome annotation in the era of big data - current status and future prospects" @default.
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