Last modified by varvio@helsinki_fi on 2024/03/27 10:34

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1 = (% style="color: rgb(0,51,102);" %)Statistical genetics, fall 2011(%%) =
2
3 === (% style="color: rgb(0,51,102);" %)Lecturer(%%) ===
4
5 [[Sirkka-Liisa Varvio>>doc:mathstatHenkilokunta.Varvio, Sirkka-Liisa]]
6
7 === (% style="color: rgb(0,51,102);" %)Scope(%%) ===
8
9 (% style="color: rgb(0,51,102);" %)**1-10 cu**(%%).
10 Credits by assignment sets, 5 sets, each 1cr, 3cr from a seminar. 1-2cr from Population genomics program during week 4.
11 You can collect credits by performing 1-5 assignment sets and by a seminar talk during the course and by listening and writing short reports from Population genomics lectures.
12 For getting 3cr from a seminar you also write an essay (this can be submitted later).
13 The course can be taken as intermediate or advanced studies in statistics.
14 In Bioinformatics master´s program (MBI) this course is one of the advanced bioinformatics courses and the seminar
15 can be taken as one of the compulsory seminars.
16 No exam; credits by assignments
17
18 === (% style="color: rgb(0,51,102);" %)Prerequisites, lectures, assignments, seminar(%%) ===
19
20 (% style="color: rgb(0,0,0);" %)Prerequisites: Interest in genetics and knowledge on basic probability calculus.
21
22 Lectures: During the first three weeks only Thursdays 14-16 in room B120 and tutoring sessions with negotiable times.
23 Assignments: exercises, computer work, simulations.
24
25 ----
26
27 (% style="color: rgb(0,51,102);" %)**Weeks 1-3,**
28
29 * (% class="confluence-link" %)Assignment set 1.pdf(%%), (% class="confluence-link" %)Population genetics basics I.pdf, (%%)
30 * (% class="confluence-link" %)Assignment set 2.pdf(%%), (% class="confluence-link" %)Population genetics basics II. pdf(%%), relevant background: (% class="confluence-link" %)Genetic relatedness analysis.pdf
31
32 ----
33
34 * (% class="confluence-link" %)Bayesian genetic analysis.pdf(%%)(((
35 ----
36 )))
37 * (% class="confluence-link" %)Assignment 3.pdf(%%), (% style="color: rgb(255,0,0);" %)NOTE:(%%) this dataset works: (% class="confluence-link" %)Growth hormone DNA stop codons removed.txt(%%), submit it to Selecton and take one sequence translated into protein and submit to SIFT. And concentrate on interpreting the results.
38 Links to servers: [[http:~~/~~/sift.jcvi.org/>>url:http://sift.jcvi.org/||shape="rect"]], [[http:~~/~~/selecton.tau.ac.il/>>url:http://selecton.tau.ac.il/||shape="rect"]] (for collecting data you need this: [[http:~~/~~/www.ncbi.nlm.nih.gov/>>url:http://www.ncbi.nlm.nih.gov/||shape="rect"]])
39 ** (% class="confluence-link" %)Diagnosing mutations.pdf(%%), (% class="confluence-link" %)Bayesian inference in selection detecting at the level of proteins.pdf(%%), (% class="confluence-link" %)SIFT algorithm for non-synonymous mutation prediction.pdf(%%),
40
41 ----
42
43 (% style="color: rgb(0,51,102);" %)**Week 4,**(%%)
44 We have the possibility to exploit the lecture program of Population genomics graduate school having an intensive course in Kumpula and topics closely related to our Statistical genetics course.
45 Lecturers: Matthieu Foll and Daniel Wegmann from Switzerland, Peter Tiffin from USA, Chris Wheat from UK/Viikki.
46
47 (% style="color: rgb(0,51,102);" %)**Lecture slides and other material**
48
49 * [[attach:M Foll, Introduction to the coalescent.pdf]]
50 * [[attach:M Foll, Extensions of the coalescent.pdf]]
51 * [[M Foll, Selection and coalescent.pdf>>attach:M Foll, Selection and coalescent.pdf]]
52 * [[attach:M Foll, Practicals coalescent.pdf]], [[attach:fastsimcoal Manual.pdf]], [[http:~~/~~/cmpg.unibe.ch/software/fastsimcoal/>>url:http://cmpg.unibe.ch/software/fastsimcoal/||shape="rect"]]
53 * [[attach:D Wegmann, Demography inference from genetic data.pdf]], [[attach:ABC Manual.pdf]], [[http:~~/~~/www.cmpg.iee.unibe.ch/content/softwares~~_~~_services/computer_programs/abctoolbox/index_eng.html>>url:http://www.cmpg.iee.unibe.ch/content/softwares__services/computer_programs/abctoolbox/index_eng.html||shape="rect"]]
54 * P Tiffin, Nature of data sets and signals of selection, Selection and demography in ecological contexts. Slides will be added if they come available
55 * C Wheat, Functional genomics of life history variation. Slides will be added if they come available.
56
57 2cr from this program: attending all lectures (10-14h) + lecture diary (short reports).
58 1cr from this program: attending ~~half of the lectures + lecture diary (short reports).
59
60 ----
61
62 (% style="color: rgb(0,51,102);" %)**Week 5**
63
64 ----
65
66 (% style="color: rgb(0,51,102);" %)**Tue 29. Nov, 12.30~-~->**(%%) in computer class C128, Assignment 4 introduction
67
68 * (% class="confluence-link" %)Assignment 4.doc
69 ** Data analysis by this software: [[http:~~/~~/www.ub.edu/dnasp/>>url:http://www.ub.edu/dnasp/||shape="rect"]], or by this: [[http:~~/~~/cmpg.unibe.ch/software/arlequin35/>>url:http://cmpg.unibe.ch/software/arlequin35/||shape="rect"]]
70 ** Population data from here: [[http:~~/~~/www.pypop.org/>>url:http://www.pypop.org/||shape="rect"]] and allele sequences here: (% class="confluence-link" %)drb1 sequences.txt
71
72 ----
73
74 (% style="color: rgb(0,51,102);" %)**Thu 1. Dec, 14.15 -15**(%%) (% style="color: rgb(0,51,102);" %)**in B120, 15~-~-> in computer class C128**(%%), Assignment 5 introduction
75
76 * (% class="confluence-link" %)Assignment 5.pdf(%%), (% class="confluence-link" %)Stat gen software.pdf(%%), Lecture slides TBA,
77 ** Data: (% class="confluence-link" %)UK_FIN_MEX_alignedFASTA.txt(%%), (% class="confluence-link" %)USA_before_vacc.txt(%%), (% class="confluence-link" %)USA_after_vacc.txt(%%), (% class="confluence-link" %)Skand_before_vacc.txt(%%), (% class="confluence-link" %)Skand_after_vacc.txt
78
79 ----
80
81 (% style="color: rgb(0,51,102);" %)**Week 6**(%%)
82 (Tue 6. Dec is the Independence day of Finland, University is closed)
83 (% style="color: rgb(0,51,102);" %)T**hu 8. Dec,**(%%)
84 Seminar presentations:
85
86 ----
87
88 (% style="color: rgb(0,51,102);" %)**Week 7**
89
90 (% style="color: rgb(0, 51, 102); text-decoration: line-through" %)**Thu 15. Dec, 14.15**> as long as needed(%%)    (% style="color: rgb(255,0,0);" %)**Wed 25. Jan 2012, 15.15 - 18 in D340; this is a meeting room in 3. floor**(%%)
91 Seminar presentations:
92 [[attach:Gene expression variance in neurology.pdf]], (% style="text-decoration: line-through;" %)Ping(%%) (not coming)
93 [[attach:p-values and Bayes factors in genetic association studies.pdf]], Christian
94 [[attach:Markov random fields in GWAS.pdf]], Hailin
95 [[attach:Epigenetics.pdf]], Khadeeja
96 [[attach:Stat inference of natural selection shaping immunity genes.pdf]], Jimmy
97 [[attach:Genetic variants to be discovered.pdf]], Jian
98 [[attach:Genetic classification by supervised learning.pdf]], Chunxiang (?)
99 Bayesian analysis of population structure, Fitsum
100 A family based association study, (% style="text-decoration: line-through;" %)Anju(%%) (not coming)
101 Comparative Studies of de novo Assembly Tools for Nextgeneration Sequencing Technologies, Shafiqul
102
103 ----
104
105 [[attach:PC-analysis and allele surfing.pdf]]
106 [[attach:Gene-based tests of association.pdf]]
107 [[attach:Hitchhiking of deleterious mutations.pdf]]
108 [[attach:Mapping mobile elements in human genome.pdf]]
109 [[attach:Selection mapping of dog phenotypes.pdf]]
110
111 You can also suggest a topic of your own.
112 The presentation in December (~~20-30min) can be based on only one literature reference (the one here, above, or the one you have found by yourself).
113 The written essay (to be submitted in January), 5-8 pages, should include ~~ 3 additional references. These are the requirements for 3cr from a seminar
114 to be registered for you. You should also follow other student´s presentations.
115 If you want to give a presentation but not write an essay, you get 1cr.
116
117 ----
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119 === [[Registration>>url:https://oodi-www.it.helsinki.fi/hy/opintjakstied.jsp?html=1&Tunniste=57734||shape="rect"]] ===
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121 (% style="color: rgb(255,0,0);" %)**NOTE:**(%%) Information about time schedule and credits given here in the course home page is valid information and information given in Weboodi-registration page (initially constructed last spring) is not updated/valid information (i.e. getting credits is more flexible and there are more options, for example the seminar option).
122
123 Did you forget to register? [[What to do>>doc:mathstatOpiskelu.Kysymys4]].