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Genome Assembly in Bioinformatics: Lecture 15 of CMSC423 Fall 2008, Study notes of Computer Science

A set of lecture notes from a university course on bioinformatic algorithms, databases and tools (cmsc423) focusing on genome assembly. The notes cover topics such as multiple alignment for phylogeny, shotgun sequencing, shortest common superstring problem, greedy algorithm for genome assembly, impact of randomness in coverage, lander-waterman statistics, all pairs alignment, overlap-layout-consensus, paths through graphs and assembly, sequencing by hybridization, and debruijn graph. The document also includes questions and answers, reading assignments, and an overview of terms.

Typology: Study notes

Pre 2010

Uploaded on 02/13/2009

koofers-user-pls
koofers-user-pls 🇺🇸

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Download Genome Assembly in Bioinformatics: Lecture 15 of CMSC423 Fall 2008 and more Study notes Computer Science in PDF only on Docsity! CMSC423: Bioinformatic Algorithms, Databases and Tools Lecture 15 Genome assembly CMSC423 Fall 2008 2 Admin • Project questions? CMSC423 Fall 2008 5 Shotgun sequencing shearing sequencing assembly original DNA (hopefully) Overview of terms Original DNA L fragments ST sequenced ends : contig 1 contig £ — -_. +. Assembly froginents a —_——_ a AMAACTCRCCTACTTATCAACCGATCOCCCRCTACCTTCTACAGCCATCATTT AAAACLUGUCTGUTTATCAACUGA LCCCCUGULACCTIUTACAGCEATCALTE AAAACLCGUCTUCTTATCAACEGA LCCCCUGEL ACCTIUTACAGCEALCALTL contig 1 contig 2 Scaffolding CMSC423 Fall 2008 6 CMSC423 Fall 2008 7 Shortest common superstring problem Given a set of strings, Σ=(s1, ..., sn), determine the shortest string S such that every si is a sub-string of S. NP-hard approximations: 4, 3, 2.89, ... Greedy algorithm (4-approximation) phrap, TIGR Assembler, CAP ...ACAGGACTGCACAGATTGATAG ACTGCACAGATTGATAGCTGA... CMSC423 Fall 2008 10 Impact of randomness – non-uniform coverage 1 2 3 4 5 6 C ov er ag e Contig Reads Imagine raindrops on a sidewalk CMSC423 Fall 2008 11 Lander-Waterman statistics L = read length T = minimum overlap G = genome size N = number of reads c = coverage (NL / G) σ = 1 – T/L E(#islands) = Ne-cσ E(island size) = L(ecσ – 1) / c + 1 – σ contig = island with 2 or more reads See chapter 4.5 CMSC423 Fall 2008 12 All pairs alignment • Needed by the assembler • Try all pairs – must consider ~ n2 pairs • Smarter solution: only n x coverage (e.g. 8) pairs are possible – Build a table of k-mers contained in sequences (single pass through the genome) – Generate the pairs from k-mer table (single pass through k- mer table) k-mer A B C D H I F G E CMSC423 Fall 2008 15 Paths through graphs and assembly • Hamiltonian circuit: visit each node (city) exactly once, returning to the start A B D C E H G I F A B C D H I F G E Genome CMSC423 Fall 2008 16 Sequencing by hybridization AAAA AAAC AAAG AAAT AACA AACG AACT AAGA ... probes - all possible k-mers AACAGTAGCTAGATG AACA TAGC AGAT ACAG AGCT GATG CAGT GCTA AGTA CTAG GTAG TAGA CMSC423 Fall 2008 17 Assembling SBH data Main entity: oligomer (overlap) Relationship between oligomers: adjacency ACCTGATGCCAATTGCACT... CTGAT follows CCTGA (they share 4 nucleotides: CTGA) Problem: given all the k-mers, find the original string In assembly: fake the SBH experiment - break the reads into k-mers CMSC423 Fall 2008 20 deBruijn graph of Mycoplasma genitalium Read-length vs. genome complexity Bacillus anthracis Ames Bacillus subtilis Mycoplasma genitalium Mycoplasma synoviae 53 Chlamydia trachomatis A HAR-13 Haemophilus influenzas Streptococcus pneumonias TIGR4 Listeria monocytogenes OoO-w+bo $+o4 Escherichia coli K12 Yorsinia pastis COO2 CMSC423 Fall 2008 21
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