DocumentCode
2737756
Title
Workshop: Transcriptome assembly from RNA-Seq data: Objectives, algorithms and challenges
Author
Li, Wei ; Feng, Jianxing ; Jiang, Tao
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of California, Riverside, CA, USA
fYear
2011
fDate
3-5 Feb. 2011
Firstpage
271
Lastpage
271
Abstract
In this talk, IsoLasso , a new RNA-Seq based transcriptome assembly tool is introduced. IsoLasso is based on the well-known LASSO algorithm, which is a multivariate regression method designated to seek a balance between the maximization of prediction accuracy and the minimization of interpretation. By including some additional constraints in the quadratic programming involved in LASSO, IsoLasso is able to make the set of assembled transcripts as complete as possible. Experiments on simulated and real RNA Seq datasets show that IsoLasso achieves higher sensitivity and precision simultaneously than other recently released transcriptome assembly algorithms including Isolnfer , Cufflinks and Scripture.
Keywords
biology computing; macromolecules; minimisation; molecular biophysics; molecular configurations; regression analysis; Cufflinks; IsoLasso; Isolnfer; LASSO algorithm; RNA-Seq based transcriptome assembly tool; RNA-Seq data; Scripture; maximization; minimization; multivariate regression method; prediction accuracy; transcriptome assembly; Accuracy; Algorithm design and analysis; Assembly; Bioinformatics; Genomics; Minimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Advances in Bio and Medical Sciences (ICCABS), 2011 IEEE 1st International Conference on
Conference_Location
Orlando, FL
Print_ISBN
978-1-61284-851-8
Type
conf
DOI
10.1109/ICCABS.2011.5729925
Filename
5729925
Link To Document