BIRDS · Bioinformatics and Information Retrieval Data Structures Analysis and Design
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2016-01-01 → 2019-12-31
- Финансиране от ЕС
- 648 000 €
- Участници
- 8
- Схема
- MSCA-RISE
Линиите свързват координатора с партньорите.
Накратко на български
Нови структури за съхранение и търсене на данни се разработват за обработка на огромни обеми биологична информация, като например секвенирането на човешки геноми. Това помага за по-доброто разбиране на развитието на видовете и механизмите на различни заболявания.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Bioinformatics and Information Retrieval Data Structures Analysis and Design
Nowadays computers are used to process huge amounts of information. For example, a major search engine processes tens of thousands of searches per second, and more than 4 terabytes of Internet traffic is generated in 1 minute. This volume of information is expected to be multiplied by a factor of 10 in the following 10 years. We are just beginning to be capable of managing this huge amount of information. However, we are not prepared to address the big challenge posed by the explosion of data coming from the DNA sequencing. Thanks to the falling cost of genome sequencing, biological data doubles every six months. Recent studies estimate that there will be up to 2 billion human genomes sequenced by 2025, increasing five orders of magnitude in 10 years. This increment can be even greater; for instance, for understanding cancer it will be necessary to sequence thousands of cells of the same tumor. Processing the amount of information that will make personalized medicine a reality, requires a new approach. A new class of data structures has recently been developed to address the new challenges in storing, processing, indexing, searching and navigating biological data. Similar tasks have been also tackled by researchers in the information retrieval community. Synergies of researchers from both fields can lead to new efficient approaches to improve the technology used for analysis of genome-scale data. Only by being capable of processing large amounts of information we will be able to understand diseases or the development, behavior and evolution of species. The overall goal of BIRDS was to establish a long term international network involving leading researchers in bioinformatics and information retrieval from four different continents, to strengthen the partnership through the exchange of knowledge and expertise, and to develop integrated approaches to improve current ones in both fields. The project achieved all the goals planned regarding research, training and networking activities. The consortium has produced relevant scientific contributions, created new collaborations and enhanced existing ones, and proposed and implemented well-attended training and networking activities.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Nowadays computers are used to process huge amounts of information, for example a major search engine processes tens of thousands of searches per second. Still the future of the information age is at risk. Computer architectures will not be resilient enough for the next information challenges. It is not only a matter of word size or clock cycles. New DNA sequencing technologies are evolving much faster than Moore's law, this means that they are evolving faster than the amount of transistors that go into CPUs and GPUs. Moreover computer disks are, by far, the slowest part of the architecture and are evolving even slower, therefore widening the relative time that information takes to reach the processor.Processing the amount of information, that will make personalized medicine a reality, requires a new approach. A new class of data structures has recently been developed to address the new challenges in storing, processing, indexing, searching and navigating biological data. Similar tasks have been also tackled by researchers in the information retrieval community: such as designing algorithms for sequence analysis, networks representation or compressing and indexing repetitive data. Synergies of researchers from both fields can lead to new efficient approaches to improve the technology used for analysis of genome-scale data.The overall goal of BIRDS is to establish a long term international network involving leading researchers in bioinformatics and information retrieval from four different continents, to strengthen the partnership through the exchange of knowledge and expertise, and to develop integrated approaches to improve current approaches in both fields. It will be implemented through staff exchanges, in addition to summer schools, workshops and conferences to facilitate knowledge sharing between members of the partnership. We will also bring research results to market, thanks to cooperation with an innovative SME software development company based in Europe.
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSIDADE DA CORUNA · La CorunaКоординаторИспания
- ENXENIO SL · A CORUNAИспания
- HELSINGIN YLIOPISTO · HelsinkiФинландия
- INESC ID INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES INVESTIGACAO E DESENVOLVIMENTO EM LISBOA · LisboaПортугалия
- KOKURITSU DAIGAKU HOJIN KYUSHU DAIGAKU · FukuokaЯпония
- UNIVERSIDAD DE CHILE · SantiagoЧили
- UNIVERSIDAD DE CONCEPCION · ConcepcionЧили
- UNIVERSITY OF MELBOURNE · MelbourneАвстралия
Връзки
- Виж в CORDIS
- DOI: 10.3030/690941
- http://birdsproject.eu/
- https://ec.europa.eu/research-and-innovation/en/projects/success-stories/all/too-much-information-better-ways-manage-data
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5c9d1e537&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5c9d1e646&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cab9a44f&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cab9a61c&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cab9abf0&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cab9aeb3&appId=PPGMS
- https://www.ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5a89bedd6&appId=PPGMS
- https://www.ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5ab425975&appId=PPGMS
Данни: CORDIS, © Европейски съюз
