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000844057 019__ $$a1043840639
000844057 020__ $$a9783319906843$$q(electronic book)
000844057 020__ $$a3319906844$$q(electronic book)
000844057 020__ $$z9783319906829
000844057 020__ $$z3319906828
000844057 035__ $$aSP(OCoLC)on1043830952
000844057 035__ $$aSP(OCoLC)1043830952$$z(OCoLC)1043840639
000844057 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dSTF
000844057 049__ $$aISEA
000844057 050_4 $$aQH324.2$$b.X53 2018
000844057 08204 $$a572.80285$$223
000844057 1001_ $$aXia, Xuhua,$$d1959-$$eauthor.
000844057 24510 $$aBioinformatics and the cell :$$bmodern computational approaches in genomics, proteomics, and transcriptomics /$$cXuhua Xia.
000844057 250__ $$aSecond edition.
000844057 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2018]
000844057 300__ $$a1 online resource (xiii, 489 pages)
000844057 336__ $$atext$$btxt$$2rdacontent
000844057 337__ $$acomputer$$bc$$2rdamedia
000844057 338__ $$aonline resource$$bcr$$2rdacarrier
000844057 504__ $$aIncludes bibliographical references and index.
000844057 5058_ $$a5.2 BLAST and FASTA Facilitate the Development of Drugs Against Human PathogensAppendix: Being Colorful Is Not Enough-How Are Stop Codons Decoded?; Chapter 2: Sequence Alignment; 1 Introduction; 2 Dynamic Programming for Pairwise Alignment; 2.1 Pairwise Alignment with Constant Gap Penalty; 2.1.1 Global Alignment; 2.1.2 Local Alignment; 2.2 Match-Mismatch Matrix; 2.2.1 Match-Mismatch Matrix for Nucleotide Sequences; 2.2.1.1 PAM Matrix for Nucleotide Sequences; 2.2.1.2 BLOSUM Matrix for Nucleotide Sequences; 2.2.2 Match-Mismatch Matrix for Proteins
000844057 5058_ $$a2.3 Pairwise Alignment with Gap Penalty Specified by the Affine Function2.3.1 Scoring Matrices; 2.3.2 Backtrack Matrices; 2.3.3 Obtain Sequence Alignment from Backtrack Matrices; 3 Multiple Sequence Alignment (MSA); 3.1 Dynamic Programming for Profile Alignment; 3.2 Replacing a Sequence Profile by a Reconstructed Ancestral Sequence; 3.3 Multiple Alignment with a Guide Tree; 3.4 The Inconsistency Problem with Pairwise Alignments; 4 Sequence Alignment with Secondary Structure; 5 Align Nucleotide Sequences Against Amino Acid Sequences; Postscript; Chapter 3: Position weight matrix and Perceptron
000844057 5058_ $$a1 Introduction2 Position Weight Matrix (PWM); 2.1 Basic Concepts of PWM; 2.2 Specification of the Background Frequencies; 2.3 Specification of Pseudocounts; 2.4 Statistical Significance Tests for PWM; 2.4.1 Statistical Significance Tests for Individual Sites; 2.4.2 Evaluating Statistical Significance of PWM When Pseudocounts Are Used; 2.4.3 Statistical Significance of PWMS; 2.5 Using PWM to Refine Multiple Sequence Alignment; 3 Perceptron; 3.1 Perceptron Algorithm; 3.2 Perceptron and XOR Problem; Postscript; Chapter 4: Gibbs sampler; 1 Introduction
000844057 5058_ $$a1.1 Gibbs Sampler and Its Biological Applications1.2 What Is De Novo Motif Discovery?; 1.3 What Are the Estimated Parameters When Applying Gibbs Sampler in Motif Discovery?; 2 Computational Details of Gibbs Sampler; 2.1 Initialization; 2.2 Predictive Update; 2.3 Motif Sampler; Postscript; Chapter 5: Transcriptomics and RNA-Seq Data Analysis; 1 Introduction; 2 Reduce File Size Without Losing Sequence Information; 3 Assigning Sequence Reads to Paralogous Genes; 3.1 Allocating Reads to a Two-Member Paralogous Gene Family; 3.2 Allocating Sequence Reads in Gene Family with More Than Two Members
000844057 506__ $$aAccess limited to authorized users.
000844057 588__ $$aDescription based on online resource; title from digital title page  (viewed on July 18, 2018).
000844057 650_0 $$aBioinformatics.
000844057 650_0 $$aGenomics$$xData processing.
000844057 650_0 $$aProteomics$$xData processing.
000844057 77608 $$iPrint version: $$z3319906828$$z9783319906829$$w(OCoLC)1029888664
000844057 852__ $$bebk
000844057 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-90684-3$$zOnline Access$$91397441.1
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000844057 980__ $$aEBOOK
000844057 980__ $$aBIB
000844057 982__ $$aEbook
000844057 983__ $$aOnline
000844057 994__ $$a92$$bISE