Literature DB >> 19158952

Compressive sensing DNA microarrays.

Wei Dai1, Mona A Sheikh, Olgica Milenkovic, Richard G Baraniuk.   

Abstract

Compressive sensing microarrays (CSMs) are DNA-based sensors that operate using group testing and compressive sensing (CS) principles. In contrast to conventional DNA microarrays, in which each genetic sensor is designed to respond to a single target, in a CSM, each sensor responds to a set of targets. We study the problem of designing CSMs that simultaneously account for both the constraints from CS theory and the biochemistry of probe-target DNA hybridization. An appropriate cross-hybridization model is proposed for CSMs, and several methods are developed for probe design and CS signal recovery based on the new model. Lab experiments suggest that in order to achieve accurate hybridization profiling, consensus probe sequences are required to have sequence homology of at least 80% with all targets to be detected. Furthermore, out-of-equilibrium datasets are usually as accurate as those obtained from equilibrium conditions. Consequently, one can use CSMs in applications in which only short hybridization times are allowed.

Entities:  

Year:  2009        PMID: 19158952      PMCID: PMC3171419          DOI: 10.1155/2009/162824

Source DB:  PubMed          Journal:  EURASIP J Bioinform Syst Biol        ISSN: 1687-4145


  14 in total

1.  Assessment of the sensitivity and specificity of oligonucleotide (50mer) microarrays.

Authors:  M D Kane; T A Jatkoe; C R Stumpf; J Lu; J D Thomas; S J Madore
Journal:  Nucleic Acids Res       Date:  2000-11-15       Impact factor: 16.971

2.  A variance-stabilizing transformation for gene-expression microarray data.

Authors:  B P Durbin; J S Hardin; D M Hawkins; D M Rocke
Journal:  Bioinformatics       Date:  2002       Impact factor: 6.937

3.  Data extraction from composite oligonucleotide microarrays.

Authors:  Ilya Shmulevich; Jaakko Astola; David Cogdell; Stanley R Hamilton; Wei Zhang
Journal:  Nucleic Acids Res       Date:  2003-04-01       Impact factor: 16.971

4.  Absolute mRNA concentrations from sequence-specific calibration of oligonucleotide arrays.

Authors:  Doeke Hekstra; Alexander R Taussig; Marcelo Magnasco; Felix Naef
Journal:  Nucleic Acids Res       Date:  2003-04-01       Impact factor: 16.971

5.  Mfold web server for nucleic acid folding and hybridization prediction.

Authors:  Michael Zuker
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

6.  Group testing with DNA chips: generating designs and decoding experiments.

Authors:  Alexander Schliep; David C Torney; Sven Rahmann
Journal:  Proc IEEE Comput Soc Bioinform Conf       Date:  2003

7.  New, improved, and practical k-stem sequence similarity measures for probe design.

Authors:  Anthony J Macula; Alexander Schliep; Morgan A Bishop; Thomas E Renz
Journal:  J Comput Biol       Date:  2008-06       Impact factor: 1.479

8.  Microarray-based analysis of gene expression in very large gene families: the cytochrome P450 gene superfamily of Arabidopsis thaliana.

Authors:  W Xu; S Bak; A Decker; S M Paquette; R Feyereisen; D W Galbraith
Journal:  Gene       Date:  2001-07-11       Impact factor: 3.688

9.  Predicting DNA duplex stability from the base sequence.

Authors:  K J Breslauer; R Frank; H Blöcker; L A Marky
Journal:  Proc Natl Acad Sci U S A       Date:  1986-06       Impact factor: 11.205

10.  A multivariate prediction model for microarray cross-hybridization.

Authors:  Yian A Chen; Cheng-Chung Chou; Xinghua Lu; Elizabeth H Slate; Konan Peck; Wenying Xu; Eberhard O Voit; Jonas S Almeida
Journal:  BMC Bioinformatics       Date:  2006-03-01       Impact factor: 3.169

View more
  12 in total

1.  A compressed sensing based approach for subtyping of leukemia from gene expression data.

Authors:  Wenlong Tang; Hongbao Cao; Junbo Duan; Yu-Ping Wang
Journal:  J Bioinform Comput Biol       Date:  2011-10       Impact factor: 1.122

2.  Identification of rare alleles and their carriers using compressed se(que)nsing.

Authors:  Noam Shental; Amnon Amir; Or Zuk
Journal:  Nucleic Acids Res       Date:  2010-08-10       Impact factor: 16.971

3.  To Petabytes and beyond: recent advances in probabilistic and signal processing algorithms and their application to metagenomics.

Authors:  R A Leo Elworth; Qi Wang; Pavan K Kota; C J Barberan; Benjamin Coleman; Advait Balaji; Gaurav Gupta; Richard G Baraniuk; Anshumali Shrivastava; Todd J Treangen
Journal:  Nucleic Acids Res       Date:  2020-06-04       Impact factor: 16.971

4.  A computational model for compressed sensing RNAi cellular screening.

Authors:  Hua Tan; Jing Fan; Jiguang Bao; Jennifer G Dy; Xiaobo Zhou
Journal:  BMC Bioinformatics       Date:  2012-12-27       Impact factor: 3.169

5.  poolMC: smart pooling of mRNA samples in microarray experiments.

Authors:  Raghunandan M Kainkaryam; Angela Bruex; Anna C Gilbert; John Schiefelbein; Peter J Woolf
Journal:  BMC Bioinformatics       Date:  2010-06-02       Impact factor: 3.169

6.  Open-target sparse sensing of biological agents using DNA microarray.

Authors:  Mojdeh Mohtashemi; David K Walburger; Matthew W Peterson; Felicia N Sutton; Haley B Skaer; James C Diggans
Journal:  BMC Bioinformatics       Date:  2011-07-29       Impact factor: 3.169

7.  Sparsity and compressed coding in sensory systems.

Authors:  Victor J Barranca; Gregor Kovačič; Douglas Zhou; David Cai
Journal:  PLoS Comput Biol       Date:  2014-08-21       Impact factor: 4.475

8.  Improved Compressive Sensing of Natural Scenes Using Localized Random Sampling.

Authors:  Victor J Barranca; Gregor Kovačič; Douglas Zhou; David Cai
Journal:  Sci Rep       Date:  2016-08-24       Impact factor: 4.379

9.  Linear program relaxation of sparse nonnegative recovery in compressive sensing microarrays.

Authors:  Linxia Qin; Naihua Xiu; Lingchen Kong; Yu Li
Journal:  Comput Math Methods Med       Date:  2012-11-01       Impact factor: 2.238

10.  Efficient route to high-bandwidth nanoscale magnetometry using single spins in diamond.

Authors:  Graciana Puentes; Gerald Waldherr; Philipp Neumann; Gopalakrishnan Balasubramanian; Jörg Wrachtrup
Journal:  Sci Rep       Date:  2014-04-14       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.