RNA Secondary Structure Prediction
|
|
- Barnard Henry
- 5 years ago
- Views:
Transcription
1 RNA Seondary Struture Predton BMI/CS Sprng 208 Anthony Gtter These sldes exludng thrd-party materal are lensed under CC BY-NC 4.0 by Mar Craven Coln Dewey and Anthony Gtter
2 Goals for Leture Key onepts RNA seondary struture Seondary struture features: stems loops bulges Pseudonots Nussnov algorthm Adaptng Nussnov to tae free energy nto aount 2
3 Why RNA s Interestng Messenger RNA mrna sn t the only mportant lass of RNA rbosomal RNA rrna rbosomes are omplexes that norporate several RNA subunts n addton to numerous proten unts transfer RNA trna transport amno ads to the rbosome durng translaton the spleosome whh performs ntron splng s a omplex wth several RNA unts mrornas and others that play regulatory roles many vruses e.g. HIV have RNA genomes gude RNA sequene omplementary determnes whether to leave DNA Foldng of an mrna an be nvolved n regulatng the gene s expresson 3
4 RNA Seondary Struture RNA s typally sngle stranded Foldng n large part s determned by base-parng A-U and C-G are the anonal base pars other bases wll sometmes par espeally G-U Base-pared struture s referred to as the seondary struture of RNA Related RNAs often have homologous seondary struture wthout sgnfant sequene smlarty 4
5 trna Seondary Struture Stable tertary struture 5
6 Small Subunt Rbosomal RNA Seondary Struture 6
7 6S RNA Seondary Struture 7
8 Seondary Struture Features bulge nternal loop stem harpn loop 8
9 Four Key Problems Predtng RNA seondary struture Gven: RNA sequene Do: predt seondary struture that sequene wll fold nto Fous for today Searhng for nstanes of a gven struture Gven: an RNA sequene or ts seondary struture Do: fnd sequenes that wll fold nto a smlar struture Modelng a famly of RNAs Gven: a set of RNA sequenes wth smlar seondary struture Do: onstrut a model that aptures the seondary struture regulartes of the set Identfyng novel RNA genes Gven: a par of homologous DNA sequenes Do: dentfy subsequenes that appear to have hghly onserved RNA seondary struture putatve RNA genes 9
10 RNA Foldng Assumpton Algorthms we ll onsder assume that base parngs do not ross For base-pared postons and wth < and < we must have ether < < < or < < < not nested < < < or < < < nested Can t have < < < or < < < 0
11 Pseudonots These rossngs are alled pseudonots pseudonot Dynam programmng breas down f pseudonots are allowed Fortunately they are not very frequent Modern software does support them Ayama et al. 208 Fgure from Selverstov et al. BMC Mrobology 2005
12 Smplest RNA Seondary Struture Tas Gven: Do: An RNA sequene The onstrant that pseudonots are not allowed Fnd a seondary struture for the RNA that maxmzes the number of base parng postons 2
13 Predtng RNA Seondary Struture: the Nussnov Algorthm [Nussnov et al. SIAM Journal of Appled Mathemats 978] Key dea: Do ths usng dynam programmng start wth small subsequenes progressvely wor to larger ones 3
14 DP n the Nussnov Algorthm G G G A A A U C C G G G A A A U C C max # of pared bases n subsequene [ ] Fgure 0.8 from textboo 4
15 DP n the Nussnov Algorthm Let f x and x are omplementary 0 otherwse Intalzaton: 0 for 2 to L 0 for to L Reurson - max - max max # of pared bases n subsequene [ ] 5
16 Nussnov Algorthm Traeba push L onto sta repeat untl sta s empty pop f ontnue else f push else f push else f reord base par push else for to -:f push push brea 6
17 Predtng RNA Seondary Struture by Energy Mnmzaton It s naïve to predt foldng ust by maxmzng the number of base pars However we an generalze the ey reurrene relaton so that we re mnmzng free energy nstead E E E - mnmne P E ase that and are base pared 7
18 Predtng RNA Seondary Struture by Energy Mnmzaton A sophstated program suh as Mfold [Zuer et al.] an tae nto aount free energy of the loal envronment of [ ] + mn LoopEnergy mn BulgeEnergy mn BulgeEnergy mn StangEnergy LoopEnergy mn E E l P l P P P P l 8
19 u g a u u a u g a u g - ++ u a u g a u g -l- ++ u a u g g + - g LoopEnergy BulgeEnergy mn P StangEnergy P LoopEnergy mn l P l l 9 Predtng RNA Seondary Struture by Energy Mnmzaton
20 Mfold example GGGAAAUCC ΔG = al/mol ΔG = 0.20 al/mol 20
4.2 Scheduling to Minimize Maximum Lateness
4. Schedulng to Mnmze Maxmum Lateness Schedulng to Mnmzng Maxmum Lateness Mnmzng lateness problem. Sngle resource processes one ob at a tme. Job requres t unts of processng tme and s due at tme d. If starts
More informationAppendix for. Institutions and Behavior: Experimental Evidence on the Effects of Democracy
Appendx for Insttutons and Behavor: Expermental Evdence on the Effects of Democrac 1. Instructons 1.1 Orgnal sessons Welcome You are about to partcpate n a stud on decson-makng, and ou wll be pad for our
More informationBioinformation by Biomedical Informatics Publishing Group
Bonformaton by Bomedal Informats Publshng Group Predton Model www.bonformaton.net Iteratve loal Gaussan lusterng for expressed genes dentfaton lnked to malgnany of human oloretal arnoma Ito Wasto, *, St
More informationPhysical Model for the Evolution of the Genetic Code
Physcal Model for the Evoluton of the Genetc Code Tatsuro Yamashta Osamu Narkyo Department of Physcs, Kyushu Unversty, Fukuoka 8-856, Japan Abstract We propose a physcal model to descrbe the mechansms
More informationThe High way code. the guide to safer, more enjoyable drug use. (alcohol)
The Hgh way code the gude to safer, more enjoyable drug use (alcohol) ntroducng the GDS Hgh Way Code GDS knows pleasure drves drug use, not the avodance of harm. As far as we know no gude has ever outlned
More informationDNA codes for RNA, which guides protein synthesis.
Section 3: DNA codes for RNA, which guides protein synthesis. K What I Know W What I Want to Find Out L What I Learned Vocabulary Review synthesis New RNA messenger RNA ribosomal RNA transfer RNA transcription
More information310 Int'l Conf. Par. and Dist. Proc. Tech. and Appl. PDPTA'16
310 Int'l Conf. Par. and Dst. Proc. Tech. and Appl. PDPTA'16 Akra Sasatan and Hrosh Ish Graduate School of Informaton and Telecommuncaton Engneerng, Toka Unversty, Mnato, Tokyo, Japan Abstract The end-to-end
More informationN-back Training Task Performance: Analysis and Model
N-back Tranng Task Performance: Analyss and Model J. Isaah Harbson (jharb@umd.edu) Center for Advanced Study of Language and Department of Psychology, Unversty of Maryland 7005 52 nd Avenue, College Park,
More informationCopy Number Variation Methods and Data
Copy Number Varaton Methods and Data Copy number varaton (CNV) Reference Sequence ACCTGCAATGAT TAAGCCCGGG TTGCAACGTTAGGCA Populaton ACCTGCAATGAT TAAGCCCGGG TTGCAACGTTAGGCA ACCTGCAATGAT TTGCAACGTTAGGCA
More informationCONSTRUCTION OF STOCHASTIC MODEL FOR TIME TO DENGUE VIRUS TRANSMISSION WITH EXPONENTIAL DISTRIBUTION
Internatonal Journal of Pure and Appled Mathematcal Scences. ISSN 97-988 Volume, Number (7), pp. 3- Research Inda Publcatons http://www.rpublcaton.com ONSTRUTION OF STOHASTI MODEL FOR TIME TO DENGUE VIRUS
More informationWe analyze the effect of tumor repopulation on optimal dose delivery in radiation therapy. We are primarily
INFORMS Journal on Computng Vol. 27, No. 4, Fall 215, pp. 788 83 ISSN 191-9856 (prnt) ó ISSN 1526-5528 (onlne) http://dx.do.org/1.1287/joc.215.659 215 INFORMS Optmzaton of Radaton Therapy Fractonaton Schedules
More informationOptimal Planning of Charging Station for Phased Electric Vehicle *
Energy and Power Engneerng, 2013, 5, 1393-1397 do:10.4236/epe.2013.54b264 Publshed Onlne July 2013 (http://www.scrp.org/ournal/epe) Optmal Plannng of Chargng Staton for Phased Electrc Vehcle * Yang Gao,
More informationA Geometric Approach To Fully Automatic Chromosome Segmentation
A Geometrc Approach To Fully Automatc Chromosome Segmentaton Shervn Mnaee ECE Department New York Unversty Brooklyn, New York, USA shervn.mnaee@nyu.edu Mehran Fotouh Computer Engneerng Department Sharf
More informationTHE NORMAL DISTRIBUTION AND Z-SCORES COMMON CORE ALGEBRA II
Name: Date: THE NORMAL DISTRIBUTION AND Z-SCORES COMMON CORE ALGEBRA II The normal dstrbuton can be used n ncrements other than half-standard devatons. In fact, we can use ether our calculators or tables
More informationGene Selection Based on Mutual Information for the Classification of Multi-class Cancer
Gene Selecton Based on Mutual Informaton for the Classfcaton of Mult-class Cancer Sheng-Bo Guo,, Mchael R. Lyu 3, and Tat-Mng Lok 4 Department of Automaton, Unversty of Scence and Technology of Chna, Hefe,
More informationOPTIMIZING SOLUTION PROCEDURES FOR THE TRANSSHIPMENT PROBLEM WITH MIXED CONSTRAINTS
PTIMIZING SLUTIN PRCEURES FR THE TRANSSHIPMENT PRBLEM WITH MIXE CNSTRAINTS A Synopss Sumtted for the partal fulfllment of the requrements for the degree of otor of Phlosophy n Mathemats y Nkky Kumar Under
More informationInternational Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS)
Internatonal Assocaton of Scentfc Innovaton and Research (IASIR (An Assocaton Unfyng the Scences, Engneerng, and Appled Research Internatonal Journal of Emergng Technologes n Computatonal and Appled Scences
More informationUsing Past Queries for Resource Selection in Distributed Information Retrieval
Purdue Unversty Purdue e-pubs Department of Computer Scence Techncal Reports Department of Computer Scence 2011 Usng Past Queres for Resource Selecton n Dstrbuted Informaton Retreval Sulleyman Cetntas
More informationDr.S.Sumathi 1, Mrs.V.Agalya 2 Mahendra Engineering College, Mahendhirapuri, Mallasamudram
Detecton Of Myocardal Ischema In ECG Sgnals Usng Support Vector Machne Dr.S.Sumath 1, Mrs.V.Agalya Mahendra Engneerng College, Mahendhrapur, Mallasamudram Abstract--Ths paper presents an ntellectual dagnoss
More informationParameter Estimates of a Random Regression Test Day Model for First Three Lactation Somatic Cell Scores
Parameter Estmates of a Random Regresson Test Day Model for Frst Three actaton Somatc Cell Scores Z. u, F. Renhardt and R. Reents Unted Datasystems for Anmal Producton (VIT), Hedeweg 1, D-27280 Verden,
More informationInteraktionen von RNAs und Proteinen
Sonja Prohaska Computational EvoDevo Universitaet Leipzig May 5, 2017 RNA-protein binding vs. DNA-protein binding Is binding of proteins to RNA the same as binding of proteins to DNA? Will the same rules
More informationShape-based Retrieval of Heart Sounds for Disease Similarity Detection Tanveer Syeda-Mahmood, Fei Wang
Shape-based Retreval of Heart Sounds for Dsease Smlarty Detecton Tanveer Syeda-Mahmood, Fe Wang 1 IBM Almaden Research Center, 650 Harry Road, San Jose, CA 95120. {stf,wangfe}@almaden.bm.com Abstract.
More informationPrediction of Total Pressure Drop in Stenotic Coronary Arteries with Their Geometric Parameters
Tenth Internatonal Conference on Computatonal Flud Dynamcs (ICCFD10), Barcelona, Span, July 9-13, 2018 ICCFD10-227 Predcton of Total Pressure Drop n Stenotc Coronary Arteres wth Ther Geometrc Parameters
More informationPROTEIN SYNTHESIS. It is known today that GENES direct the production of the proteins that determine the phonotypical characteristics of organisms.
PROTEIN SYNTHESIS It is known today that GENES direct the production of the proteins that determine the phonotypical characteristics of organisms.» GENES = a sequence of nucleotides in DNA that performs
More informationLEG EXERCISES 1. To be able to teach and supervise a service user undertaking prescribed leg exercises
LEG EXERCISES 1 Am To be able to teach and supervse a servce user undertakng prescrbed leg exercses To be able to recognse the sgns of muscle fatgue Thngs to note Sgns of fatgue shakng, tredness, achng,
More informationIMPROVING THE EFFICIENCY OF BIOMARKER IDENTIFICATION USING BIOLOGICAL KNOWLEDGE
IMPROVING THE EFFICIENCY OF BIOMARKER IDENTIFICATION USING BIOLOGICAL KNOWLEDGE JOHN H. PHAN The Wallace H. Coulter Department of Bomedcal Engneerng, Georga Insttute of Technology, 313 Ferst Drve Atlanta,
More informationEvaluation of the generalized gamma as a tool for treatment planning optimization
Internatonal Journal of Cancer Therapy and Oncology www.jcto.org Evaluaton of the generalzed gamma as a tool for treatment plannng optmzaton Emmanoul I Petrou 1,, Ganesh Narayanasamy 3, Eleftheros Lavdas
More informationThe Influence of the Isomerization Reactions on the Soybean Oil Hydrogenation Process
Unversty of Belgrade From the SelectedWorks of Zeljko D Cupc 2000 The Influence of the Isomerzaton Reactons on the Soybean Ol Hydrogenaton Process Zeljko D Cupc, Insttute of Chemstry, Technology and Metallurgy
More informationA New Machine Learning Algorithm for Breast and Pectoral Muscle Segmentation
Avalable onlne www.ejaet.com European Journal of Advances n Engneerng and Technology, 2015, 2(1): 21-29 Research Artcle ISSN: 2394-658X A New Machne Learnng Algorthm for Breast and Pectoral Muscle Segmentaton
More informationReconciling Simplicity and Likelihood Principles in Perceptual Organization
Psychologcal Revew Copyrght 1996 by the Amercan Psychologcal Assocaton, Inc. 1996. Vol. 103, No. 3, 566-581 0033-295X/96/$3.00 Reconclng Smplcty and Lkelhood Prncples n Perceptual Organzaton Nck Chater
More informationrespiration mitochondria mitochondria metabolic pathways chapter DRP1 ER tubule
respraton chapter 3-4 mtochondra shape hghly varable can fuse or splt structure outer membrane nner membrane crstae ntermembrane space mtochondral matrx free rbosomes respratory enzymes endosymbont or
More informationPerimeter and Area. Perimeter and Area. Solutions. Curriculum Ready ACMMG: 196, 197, 216.
Permeter nd Are Permeter nd Are Currculum Redy ACMMG: 96, 97, 6 www.mthletcs.com Permeter nd Are Bscs Pge 4 questons. Fnd the permeter of these shpes to the nerest cm. (All unts n cm) 4 c 3 6 0 6 Permeter
More informationAn Approach to Discover Dependencies between Service Operations*
36 JOURNAL OF SOFTWARE VOL. 3 NO. 9 DECEMBER 2008 An Approach to Dscover Dependences between Servce Operatons* Shuyng Yan Research Center for Grd and Servce Computng Insttute of Computng Technology Chnese
More informationModeling Multi Layer Feed-forward Neural. Network Model on the Influence of Hypertension. and Diabetes Mellitus on Family History of
Appled Mathematcal Scences, Vol. 7, 2013, no. 41, 2047-2053 HIKARI Ltd, www.m-hkar.com Modelng Mult Layer Feed-forward Neural Network Model on the Influence of Hypertenson and Dabetes Melltus on Famly
More informationTHIS IS AN OFFICIAL NH DHHS HEALTH ALERT
THIS IS AN OFFICIAL NH DHHS HEALTH ALERT Dstrbuted by the NH Health Alert Network Health.Alert@dhhs.nh.gov August 26, 2016 1430 EDT (2:30 PM EDT) NH-HAN 20160826 Recommendatons for Accurate Dagnoss of
More informationEngineered commensal microbes for dietmediated colorectal-cancer chemoprevention
SUPPLEMENTARY NFORMATON Artcles https://do.org/10.1038/s41551-017-0181-y n the format provded by the authors and unedted. Engneered commensal mcrobes for detmedated colorectal-cancer chemopreventon Chun
More informationISOBARIC VAPOR-LIQUID EQUILIBRIUM FOR THE BINARY MIXTURE OF ETHANOL (1) + 1-HEXANOL (2) AT 100 kpa
ISOBARIC VAPOR-LIQUID EQUILIBRIUM FOR THE BINARY MIXTURE OF ETHANOL (1) + 1-HEXANOL (2) AT 100 Pa Dhon Hartanto 1), Asall Mustan 2), Bayu Trwbowo 1), Aula Septan Muta 1) 1) Department of Chemcal Engneerng,
More informationAppendix F: The Grant Impact for SBIR Mills
Appendx F: The Grant Impact for SBIR Mlls Asmallsubsetofthefrmsnmydataapplymorethanonce.Ofthe7,436applcant frms, 71% appled only once, and a further 14% appled twce. Wthn my data, seven companes each submtted
More informationPAPER TITLE: DETERMINING THE OPPORTUNITY OF NEW RAILWAY STATIONS
PAPER TITLE: DETERMINING THE OPPORTUNITY OF NEW RAILWAY STATIONS Gwennan DAVID and Nawfal TALBI, Forecastng Experts, SNCF Voyages Major Projects Plannng Dvson, Pars - France Challenge: E, Brngng the terrtores
More informationTIME RESPONSE OF JEJUNAL SUCRASE AND MALTASE ACTIVITY TO A HIGH SUCROSE DIET IN NORMAL MAN
GASTROEKTEROLOGY Copyrght 1969 by The Wllams & Wlkns Co. Vol. 56, No.3 Prnted n U.S.A. TIME RESPONSE OF JEJUNAL SUCRASE AND MALTASE ACTIVITY TO A HIGH SUCROSE DIET IN NORMAL MAN NORTON S. RoSENSWEIG, M.D.,
More informationEVALUATION OF BULK MODULUS AND RING DIAMETER OF SOME TELLURITE GLASS SYSTEMS
Chalcogende Letters Vol. 12, No. 2, February 2015, p. 67-74 EVALUATION OF BULK MODULUS AND RING DIAMETER OF SOME TELLURITE GLASS SYSTEMS R. EL-MALLAWANY a*, M.S. GAAFAR b, N. VEERAIAH c a Physcs Dept.,
More informationThe High way code. the guide to safer, more enjoyable drug use [GHB] Who developed it?
The Hgh way code the gude to safer, more enjoyable drug use [] Who developed t? What s t? The frst gude to safer drug use voted for by people who take drugs. How was t was developed? GDS asked loads of
More informationChapter 20. Aggregation and calibration. Betina Dimaranan, Thomas Hertel, Robert McDougall
Chapter 20 Aggregaton and calbraton Betna Dmaranan, Thomas Hertel, Robert McDougall In the prevous chapter we dscussed how the fnal verson 3 GTAP data base was assembled. Ths data base s extremely large.
More informationSearching for unusual clusters of palindromes and close inversions in the SARS virus genome. June 4, 2003
1/33 Searching for unusual clusters of palindromes and close inversions in the SARS virus genome June 4, 2003 Kwok-Pui Choi Department of Mathematics, NUS Department of Statistics and Applied Probability
More informationWere the babies switched? The Genetics of Blood Types i
Were the babes swtched? The Genetcs of Blood Types Two couples had babes on the same day n the same hosptal. Dense and Earnest had a grl, Tonja. Danelle and Mchael had twns, a boy, Mchael, Jr., and a grl,
More informationLateral Transfer Data Report. Principal Investigator: Andrea Baptiste, MA, OT, CIE Co-Investigator: Kay Steadman, MA, OTR, CHSP. Executive Summary:
Samar tmed c ali ndus t r esi nc 55Fl em ngdr ve, Un t#9 Cambr dge, ON. N1T2A9 T el. 18886582206 Ema l. nf o@s amar t r ol l boar d. c om www. s amar t r ol l boar d. c om Lateral Transfer Data Report
More informationA hybrid brain-computer interface combining the EEG and NIRS. Ma, L; Zhang, L; Wang, L; Xu, M; Qi, H; Wan, B; Ming, D; Hu, Y
Ttle A hybrd bran-computer nterface combnng the EEG and NIRS Author(s) Ma, L; Zhang, L; Wang, L; Xu, M; Q, H; Wan, B; Mng, D; Hu, Y Ctaton The 2012 IEEE Internatonal Conference on Vrtual Envronments, Human-Computer
More informationrespiration mitochondria mitochondria metabolic pathways chapter 13-14
respraton chapter 3-4 mtochondra shape hghly varable can fuse or splt structure outer membrane nner membrane crstae ntermembrane space mtochondral matrx free rbosomes respratory enzymes mtochondra reproducton
More informationRNA (Ribonucleic acid)
RNA (Ribonucleic acid) Structure: Similar to that of DNA except: 1- it is single stranded polunucleotide chain. 2- Sugar is ribose 3- Uracil is instead of thymine There are 3 types of RNA: 1- Ribosomal
More information(From the Gastroenterology Division, Cornell University Medical College, New York 10021)
ROLE OF HEPATIC ANION-BINDING PROTEIN IN BROMSULPHTHALEIN CONJUGATION* BY N. KAPLOWITZ, I. W. PERC -ROBB,~ ANn N. B. JAVITT (From the Gastroenterology Dvson, Cornell Unversty Medcal College, New York 10021)
More informationEvent Summarization using Tweets
Event Summarzaton usng Tweets ABSTRACT Deepaan Chakrabart Yahoo! Research 701 1st Avenue Sunnvale, CA 94089 deepa@ahoo-nc.com Twtter has become exceedngl popular, wth mllons of tweets beng posted ever
More informationSubject-Adaptive Real-Time Sleep Stage Classification Based on Conditional Random Field
Subject-Adaptve Real-Tme Sleep Stage Classfcaton Based on Condtonal Random Feld Gang Luo, PhD, Wanl Mn, PhD IBM TJ Watson Research Center, Hawthorne, NY {luog, wanlmn}@usbmcom Abstract Sleep stagng s the
More informationThe High way code. the guide to safer, more enjoyable drug use. (ketamine)
The Hgh way code the gude to safer, more enjoyable drug use (ketamne) ntroducng the GDS Hgh Way Code GDS knows pleasure drves drug use, not the avodance of harm. As far as we know no gude has ever outlned
More informationMachine Understanding - a new area of research aimed at building thinking/understanding machines
achne Understandng - a new area of research amed at buldng thnkng/understandng machnes Zbgnew Les and agdalena Les St. Queen Jadwga Research Insttute of Understandng, elbourne, Australa sqru@outlook.com
More informationLymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma Cancer Classfcaton Usng Genetc Programmng wth SNR Features Jn-Hyuk Hong and Sung-Bae Cho Dept. of Computer Scence, Yonse Unversty, 134 Shnchon-dong, Sudaemoon-ku, Seoul 120-749, Korea hjnh@candy.yonse.ac.kr,
More informationPrice linkages in value chains: methodology
Prce lnkages n value chans: methodology Prof. Trond Bjorndal, CEMARE. Unversty of Portsmouth, UK. and Prof. José Fernández-Polanco Unversty of Cantabra, Span. FAO INFOSAMAK Tangers, Morocco 14 March 2012
More informationBioinformation by Biomedical Informatics Publishing Group
Predicted RNA secondary structures for the conserved regions in dengue virus Pallavi Somvanshi*, Prahlad Kishore Seth Bioinformatics Centre, Biotech Park, Sector G, Jankipuram, Lucknow 226021, Uttar Pradesh,
More informationConstruction and Clarifi cation of Dynamic Gene Regulatory Network of Cancer Cell Cycle via Microarray Data
ORIGINAL RESEARCH Constructon and Clarf caton of Dynamc Gene Regulatory Network of Cancer Cell Cycle va Mcroarray Data Cheng-We L, Yung-Hsang Chu and Bor-Sen Chen Lab. of Systems bology, Natonal Tsng Hua
More informationFree-living inferential modeling of blood glucose level using only noninvasive inputs
Iowa State Unersty From the SelectedWorks of Warren D Franke 21 Free-lng nferental modelng of blood glucose leel usng only nonnase nputs Derrck K Rollns, Iowa State Unersty Ndh Bhandar, Iowa State Unersty
More informationSurvival Rate of Patients of Ovarian Cancer: Rough Set Approach
Internatonal OEN ACCESS Journal Of Modern Engneerng esearch (IJME) Survval ate of atents of Ovaran Cancer: ough Set Approach Kamn Agrawal 1, ragat Jan 1 Department of Appled Mathematcs, IET, Indore, Inda
More informationPrototypes in the Mist: The Early Epochs of Category Learning
Journal of Expermental Psychology: Learnng, Memory, and Cognton 1998, Vol. 24, No. 6, 1411-1436 Copyrght 1998 by the Amercan Psychologcal Assocaton, Inc. 0278-7393/98/S3.00 Prototypes n the Mst: The Early
More informationThe High way code. the guide to safer, more enjoyable drug use. (lsd / magic mushrooms)
The Hgh way code the gude to safer, more enjoyable drug use (lsd / magc mushrooms) ntroducng the GDS Hgh Way Code GDS knows pleasure drves drug use, not the avodance of harm. As far as we know no gude
More informationBalanced Query Methods for Improving OCR-Based Retrieval
Balanced Query Methods for Improvng OCR-Based Retreval Kareem Darwsh Electrcal and Computer Engneerng Dept. Unversty of Maryland, College Park College Park, MD 20742 kareem@glue.umd.edu Douglas W. Oard
More informationrespiration metabolic pathways redox reactions mitochondria chapter 13-14
metabolc pathways respraton chapter 3-4 metabolsm metabolc pathways usually n specfc locaton convert substrates to end products va ntermedates anabolc catabolc redox reactons mtochondra oxdaton-reducton
More informationAn Introduction to Genetics. 9.1 An Introduction to Genetics. An Introduction to Genetics. An Introduction to Genetics. DNA Deoxyribonucleic acid
An Introduction to Genetics 9.1 An Introduction to Genetics DNA Deoxyribonucleic acid Information blueprint for life Reproduction, development, and everyday functioning of living things Only 2% coding
More informationDevelopment of a Tube-ball Coal Mill Mathematical Model Using Particle Swarm Optimization (P.S.O.)
Proeedngs of the World Congress on Engneerng 8 Vol I WCE 8, July - 4, 8, London, U.K. Development of a Tube-ball Coal ll athematal odel Usng Partle Swarm Optmzaton (P.S.O.) P. Zaharades, J. L. We, J. Wang
More informationAnalysis of the QRS Complex for Apnea-Bradycardia Characterization in Preterm Infants
Author manuscrpt, publshed n "Conference proceedngs : Annual Internatonal Conference of the IEEE Engneerng n Medcne and Bology Socety. 2009;:946-9" DOI : 0.09/IEMBS.2009.533353 Analyss of the QRS Complex
More informationImportance of Atrial Compliance in Cardiac Performance
Importance of Atral Complance n Cardac Performance By Hroyuk Suga ABSTRACT Effects of changes n atral complance on cardac performance were analyzed usng a crculatory analog model. The atrum was assumed
More informationComparison among Feature Encoding Techniques for HIV-1 Protease Cleavage Specificity
Internatonal Journal of Intellgent Systems and Applcatons n Engneerng Advanced Technology and Scence ISSN:2147-67992147-6799 http://jsae.atscence.org/ Orgnal Research Paper Comparson among Feature Encodng
More informationA-UNIFAC Modeling of Binary and Multicomponent Phase Equilibria of Fatty Esters+Water+Methanol+Glycerol
-UNIFC Modelng of Bnary and Multcomponent Phase Equlbra of Fatty Esters+Water+Methanol+Glycerol N. Garrdo a, O. Ferrera b, R. Lugo c, J.-C. de Hemptnne c, M. E. Macedo a, S.B. Bottn d,* a Department of
More informationSebastian Jaenicke. trnascan-se. Improved detection of trna genes in genomic sequences
Sebastian Jaenicke trnascan-se Improved detection of trna genes in genomic sequences trnascan-se Improved detection of trna genes in genomic sequences 1/15 Overview 1. trnas 2. Existing approaches 3. trnascan-se
More informationStudy and Comparison of Various Techniques of Image Edge Detection
Gureet Sngh et al Int. Journal of Engneerng Research Applcatons RESEARCH ARTICLE OPEN ACCESS Study Comparson of Varous Technques of Image Edge Detecton Gureet Sngh*, Er. Harnder sngh** *(Department of
More informationThe Blueprint of Life: DNA to Protein. What is genetics? DNA Structure 4/27/2011. Chapter 7
The Blueprint of Life: NA to Protein Chapter 7 What is genetics? The science of heredity; includes the study of genes, how they carry information, how they are replicated, how they are expressed NA Structure
More informationThe Blueprint of Life: DNA to Protein
The Blueprint of Life: NA to Protein Chapter 7 What is genetics? The science of heredity; includes the y; study of genes, how they carry information, how they are replicated, how they are expressed 1 NA
More informationResearch Center for Price Dynamics
Researh Center for Pre Dynas A Researh Proet Conernng Pres and Household Behavors Based on Mro Transaton Data Workng Paper Seres No.3 Who faes hgher pres? An epral analyss based on Japanese hoesan data
More informationValidation of the Gravity Model in Predicting the Global Spread of Influenza
Int. J. Envron. Res. Publc Health 2011, 8, 3134-3143; do:10.3390/jerph8083134 OPEN ACCESS Internatonal Journal of Envronmental Research and Publc Health ISSN 1660-4601 www.mdp.com/journal/jerph Artcle
More informationA role for eukaryotic initiation factor 4B overexpression in the pathogenesis of diffuse large B-cell lymphoma
Leukema (), & Macmllan Publshers Lmted All rghts reserved -/ www.nature.com/leu OPEN ORIGINAL ARTICLE A role for eukaryotc ntaton factor B overexpresson n the pathogeness of dffuse large B-cell lymphoma
More informationBimodal Bidding in Experimental All-Pay Auctions
Bmodal Bddng n Expermental All-Pay Auctons Chrstane Ernst and Chrstan Thön August 2009 Dscusson Paper no. 2009-25 Department of Economcs Unversty of St. Gallen Edtor: Publsher: Electronc Publcaton: Martna
More informationMicroRNA-31 Promotes Skin Wound Healing by Enhancing Keratinocyte Proliferation and Migration
ORIGINL RTICLE McroRN- romotes Skn Wound Healng by Enhancng Keratnocyte rolferaton and Mgraton Dongqng L,XL, oxue Wang,, Floran Mesgen, ndor varcs, Enkö Sonkoly, Mona Ståhle and Nng Xu Landén Wound healng
More informationProtein Synthesis and Mutation Review
Protein Synthesis and Mutation Review 1. Using the diagram of RNA below, identify at least three things different from a DNA molecule. Additionally, circle a nucleotide. 1) RNA is single stranded; DNA
More informationBiomarker Selection from Gene Expression Data for Tumour Categorization Using Bat Algorithm
Receved: March 20, 2017 401 Bomarker Selecton from Gene Expresson Data for Tumour Categorzaton Usng Bat Algorthm Gunavath Chellamuthu 1 *, Premalatha Kandasamy 2, Svasubramanan Kanagaraj 3 1 School of
More informationA look at macromolecules (Text pages 38-54) What is the typical chemical composition of a cell? (Source of figures to right: Madigan et al.
A look at macromolecules (Text pages 38-54) What is the typical chemical composition of a cell? (Source of figures to right: Madigan et al. 2002 Chemical Bonds Ionic Electron-negativity differences cause
More informationINITIAL ANALYSIS OF AWS-OBSERVED TEMPERATURE
INITIAL ANALYSIS OF AWS-OBSERVED TEMPERATURE Wang Yng, Lu Xaonng, Ren Zhhua, Natonal Meteorologcal Informaton Center, Bejng, Chna Tel.:+86 684755, E-mal:cdcsjk@cma.gov.cn Abstract From, n Chna meteorologcal
More informationIncorrect Beliefs. Overconfidence. Types of Overconfidence. Outline. Overprecision 4/22/2015. Econ 1820: Behavioral Economics Mark Dean Spring 2015
Incorrect Belefs Overconfdence Econ 1820: Behavoral Economcs Mark Dean Sprng 2015 In objectve EU we assumed that everyone agreed on what the probabltes of dfferent events were In subjectve expected utlty
More informationInternational Journal of Business and Economic Development Vol. 3 Number 1 March 2015
Internatonal Journal of Busness and Economc Development Vol. 3 Number 1 March 2015 The relatonshp between the understandng of phlosophy of suffcency economy and the lvng standard: the case study of suffcency
More informationTHE PHYSIOLOGY OF EXCITABLE CELLS
THE PHYSIOLOGY OF EXCITABLE CELLS Evelyn Morn Department of Electrcal & Computer Engneerng Queen s Unversty, Kngston, Ont. In all cells a potental exsts across the cell membrane due to dfferences n the
More informationModeling the Survival of Retrospective Clinical Data from Prostate Cancer Patients in Komfo Anokye Teaching Hospital, Ghana
Internatonal Journal of Appled Scence and Technology Vol. 5, No. 6; December 2015 Modelng the Survval of Retrospectve Clncal Data from Prostate Cancer Patents n Komfo Anokye Teachng Hosptal, Ghana Asedu-Addo,
More informationA role for haemoglobin in all plant roots? p ~ dd4/j kl ~ & ~ l ~
A role for haemoglobn n all plant roots? p ~ dd4/j kl ~ & ~ l ~ C. A. APPLEBY, D;/90GUSZ1, E. S. DENNIS & W. J. PEACOCKZ, Dvson of Plant Industry, CSIRO, Canberra, Australa 2601 - Receved 14 January 1988
More informationDTlC. Uby I, I 94!? AD-A MINIMIZATION OF CARPAL TUNNEL SYNDROME. i ; I I .4 ELECTE DLA D-0017, DO 0015 FINAL REPORT
; AD-A276 409 MNMZATON OF CARPAL TNNEL SYNDROME DLA900-87-D-0017, DO 0015 by FNAL REPORT DTlC.4 ELECTE A MAR 0 7 199411 Ed Hll Clemson nversty Clemson Apparel Research 500 Lebanon Road Pendleton, SC 29670
More informationNumerical Simulation of Root Longitudinal Stresses and Tooth Deformations Under Irregularly Distributed Loads
2016 3 rd Internatonal Conferene on Engneerng Tehnology and Applaton (ICETA 2016) ISBN: 978-1-60595-383-0 Numeral Smulaton of Root Longtudnal Stresses and Tooth Deformatons Under Irregularly Dstruted Loads
More informationA GEOGRAPHICAL AND STATISTICAL ANALYSIS OF LEUKEMIA DEATHS RELATING TO NUCLEAR POWER PLANTS. Whitney Thompson, Sarah McGinnis, Darius McDaniel,
A GEOGRAPHICAL AD STATISTICAL AALYSIS OF LEUKEMIA DEATHS RELATIG TO UCLEAR POWER PLATS Whtney Thompson, Sarah McGnns, Darus McDanel, Jean Sexton, Rebecca Pettt, Sarah Anderson, Monca Jackson ABSTRACT:
More informationEffects of Estrogen Contamination on Human Cells: Modeling and Prediction Based on Michaelis-Menten Kinetics 1
J. Water Resource and Protecton, 009,, 6- do:0.6/warp.009.500 Publshed Onlne ovember 009 (http://www.scrp.org/ournal/warp) Effects of Estrogen Contamnaton on Human Cells: Modelng and Predcton Based on
More informationSection 6. Junaid Malek, M.D.
Section 6 Junaid Malek, M.D. The Golgi and gp160 gp160 transported from ER to the Golgi in coated vesicles These coated vesicles fuse to the cis portion of the Golgi and deposit their cargo in the cisternae
More informationPANCREATIC CANCER. - Exocrine: the production of enzymes that help digesting fats and proteins.
PANCREATIC CANCER 1. The pancreas It s a 15 cm gland located between the stomach and the spne, ntmately related to the vascular structures. It s dvded nto 3 parts: the wder end s called head, the mddle
More informationMicroRNA in Cancer Karen Dybkær 2013
MicroRNA in Cancer Karen Dybkær RNA Ribonucleic acid Types -Coding: messenger RNA (mrna) coding for proteins -Non-coding regulating protein formation Ribosomal RNA (rrna) Transfer RNA (trna) Small nuclear
More informationProject title: Mathematical Models of Fish Populations in Marine Reserves
Applcaton for Fundng (Malaspna Research Fund) Date: November 0, 2005 Project ttle: Mathematcal Models of Fsh Populatons n Marne Reserves Dr. Lev V. Idels Unversty College Professor Mathematcs Department
More informationGenderMag: A Method for Evaluating Software s Gender Inclusiveness
c The Author 2016. Publshed by Oxford Unversty Press on behalf of The Brtsh Computer Socety. All rghts reserved. For Permssons, please emal: journals.permssons@oup.com Advance Access publcaton on 27 January
More informationUsing a Wavelet Representation for Classification of Movement in Bed
Usng a Wavelet Representaton for Classfcaton of Movement n Bed Adrana Morell Adam Depto. de Matemátca e Estatístca Unversdade de Caxas do Sul Caxas do Sul RS E-mal: amorell@ucs.br André Gustavo Adam Depto.
More informationAn Improved Time Domain Pitch Detection Algorithm for Pathological Voice
Amercan Journal of Appled Scences 9 (1): 93-102, 2012 ISSN 1546-9239 2012 Scence Publcatons An Improved Tme Doman Ptch Detecton Algorthm for Pathologcal Voce Mohd Redzuan Jamaludn, Shekh Hussan Shakh Salleh,
More informationACCU-CHEK. Compact Plus. User s Manual BLOOD GLUCOSE MONITORING SYSTEM. Downloaded from manuals search engine
ACCU-CHEK Compact Plus BLOOD GLUCOSE MONITORING SYSTEM User s Manual On the packagng, on the type plate of the meter and on the lancng devce you may encounter the followng symbols shown below. They have
More information