東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Information mining algorithms for bi...

Thapar, Vishal.

FindBook

Google Book

Amazon

博客來

Information mining algorithms for bioinformatics problems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Information mining algorithms for bioinformatics problems./
作者:	Thapar, Vishal.
面頁冊數:	129 p.
附註:	Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1403.
Contained By:	Dissertation Abstracts International69-03B.
標題:	Biology, Bioinformatics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3308250
ISBN:	9780549548348

Information mining algorithms for bioinformatics problems.
Thapar, Vishal.

Information mining algorithms for bioinformatics problems. - 129 p.

Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1403.

Thesis (Ph.D.)--University of Connecticut, 2008.

In this research work we aim to propose novel algorithms as well as implementations to address these problems in the field of bioinformatics.

ISBN: 9780549548348Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Information mining algorithms for bioinformatics problems.
LDR:02523nam 2200277 a 45 001 963679
005 20110831
008 110831s2008 ||||||||||||||||| ||eng d
020 $a 9780549548348
035 $a (UMI)AAI3308250
035 $a AAI3308250
040 $a UMI $c UMI
100 1 $a Thapar, Vishal. $3 1286741
245 1 0 $a Information mining algorithms for bioinformatics problems.
300 $a 129 p.
500 $a Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1403.
502 $a Thesis (Ph.D.)--University of Connecticut, 2008.
520 $a In this research work we aim to propose novel algorithms as well as implementations to address these problems in the field of bioinformatics.
520 $a The simple world of algorithms can be applied to various problems all around us. With significant growth of bio-molecular sequence data in the last decade the need for algorithms to extract patterns and meaningful information from such data has been felt strongly. Multiple sequence alignment is an area in biology that has been studied extensively and many algorithms have been suggested in literature for the problem. Alignment of sequences, in order to determine regions of common descent, has also been an important area of research as it helps scientist discover the evolution of species. We employ sampling to improve the time as well as accuracy for multiple sequence alignment.
520 $a With growing publications in the area of bioinformatics in particular and science in general, it has become almost impossible to go through every single paper available on the internet on a research subject. Several researchers are putting in a lot of effort into finding new ways for document summarization so that the most relevant information in a document can be filtered out as a summary and can thus reduce the time and effort required to go through the entire document.
520 $a As the lower bound for computation is being met for various algorithms in bioinformatics, to further expedite the computing on large data sets, parallelization has become imperative. New multiprocessor architectures like the Cell Broadband Engine have the potential to do extensive calculations and act as mini-supercomputers. Other applications for these include onboard aircraft fault diagnosis and prognosis.
590 $a School code: 0056.
650 4 $a Biology, Bioinformatics. $3 1018415
690 $a 0715
710 2 $a University of Connecticut. $3 1017435
773 0 $t Dissertation Abstracts International $g 69-03B.
790 $a 0056
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3308250