Difference between revisions of "User:Boris/Temp/APB"

From "A B C"
Jump to navigation Jump to search
m
m
 
(14 intermediate revisions by the same user not shown)
Line 1: Line 1:
 
<div id="APB">
 
<div id="APB">
  
 +
<table width="40%"><tr><td class="l1">&nbsp;</td><td>
  
;Hardware
+
===Hardware===
* High performance computing <!-- (... at the bench: GPUs, FPGAs, Clusters) -->
+
<table width="100%">
* Cloud computing
+
<tr class="s1"><td class="l1">High performance computing <!-- (... at the bench: GPUs, FPGAs, Clusters) --></td></tr>
 +
<tr class="s2"><td class="l1">Cloud computing</td></tr>
 +
<tr><td class="sp">&nbsp;</td></tr>
 +
</table>
  
; Systems and Tools
+
===Systems and Tools===
* [[Unix]]
+
<table width="100%">
* [[Network Configuration]]
 
* [[Apache]]
 
* [[MySQL]]
 
* [[Tools for the bioinformatics lab]]
 
* [[GBrowse|GBrowse and LDAS]]
 
  
;Programming
+
<tr class="s1"><td class="l1 mw-collapsible mw-collapsed" data-expandtext="Expand subtopics" data-collapsetext="Collapse">[[Unix]]
* [[IDE|IDE (Integrated Development Environment)]]
+
<div class="mw-collapsible-content">
* [[Regular Expressions]]
+
<table width="100%"><tr class="s2"><td class="l2">[[Unix system administration]]</td></tr></table>
* [[Screenscraping]]
+
<table width="100%"><tr class="s1"><td class="l2">[[Unix automation]]</td></tr></table>
* [[Perl]]
+
<table width="100%"><tr class="s2"><td class="l2">[[Program installation]]</td></tr></table>
* [[BioPerl]]
+
<table width="100%"><tr class="s1"><td class="l2">[[wget]]</td></tr></table>
* [[PHP]]
+
</div>
* [[Relational database principles]]
+
</td></tr>
* BioPython <!-- (scope, highlights, installation, use, support) -->
 
* Graphical output <!-- (PNG and SVG) -->
 
* [[Autonomous agents]]
 
  
:; Algorithms on Sequences
+
<tr class="s2"><td class="l1">[[Network Configuration]]</td></tr>
** [[Dynamic Programming]]
+
<tr class="s1"><td class="l1">[[Apache]]</td></tr>
** [[Multiple Sequence Alignment]]
+
<tr class="s2"><td class="l1">[[MySQL]]</td></tr>
** [[Genome Assembly]]
+
<tr class="s1"><td class="l1">[[Tools for the bioinformatics lab]]</td></tr>
:; Algorithms on Structures
+
<tr class="s2"><td class="l1">[[GBrowse|GBrowse and LDAS]]</td></tr>
** [[Docking]]
+
<tr><td class="sp">&nbsp;</td></tr>
** Protein Structure Prediction <!-- ''ab initio'' -->
+
</table>
:; Algorithms on Trees
 
** Computing with trees <!-- Bayesian approaches for phylogenetic trees, tree comparison) -->
 
:; Algorithms on Networks
 
** Network metrics <!-- (Degree distributions, Centrality metrics, other metrics on topology, small-world- vs. random-geometric controversy) -->
 
*** [[Dijkstras Algorithm]]
 
*** [[Floyd Warshall Algorithm]]
 
  
;Communication and collaboration
+
===Programming===
* [[MediaWiki]]
+
<table width="100%" >
* [[HTML essentials]]
+
<tr class="s1"><td class="l1">[[IDE|IDE (Integrated Development Environment)]]</td></tr>
* [[HTML 5]]
+
<tr class="s2"><td class="l1">[[Regular Expressions]]</td></tr>
* [[SADI|SADI Semantic Automated Discovery and Integration]]
+
<tr class="s1"><td class="l1">[[Screenscraping]]</td></tr>
* [[CGI]]
 
  
; Statistics
+
<tr class="s2"><td class="l1 mw-collapsible mw-collapsed" data-expandtext="Expand subtopics" data-collapsetext="Collapse">[[Perl]]
* [[Pattern discovery]]
+
<div class="mw-collapsible-content">
* Correlation <!-- (Covariance matrices and their interpretation, application to large problems, collaborative filtering, MIC and MINE) -->
+
<table width="100%"><tr class="s1"><td class="l2">[[Perl basic programming]]</td></tr></table>
* Clustering methods <!-- (Algorithms and choice (including: hierarchical, model-based and partition clustering, graphical methods (MCL), flow based methods (RRW) and spectral methods). Implementation in R if possible) -->
+
<table width="100%"><tr class="s2"><td class="l2">[[Perl hash example]]</td></tr></table>
* Cluster metrics <!-- (Cluster quality metrics (Akaike, BIC)–when and how) -->
+
<table width="100%"><tr class="s1"><td class="l2">[[Perl LWP example]]</td></tr></table>
* [[Map equation|The Map Equation]]  
+
<table width="100%"><tr class="s2"><td class="l2">[[Perl MySQL introduction]]</td></tr></table>
* Machine learning <!-- (Classification problems: Neural Networks, HMMs, SVM..) -->
+
<table width="100%"><tr class="s1"><td class="l2">[[Perl OBO parser]]</td></tr></table>
* [[R]]
+
<table width="100%"><tr class="s2"><td class="l2">[[Perl basic programming]]</td></tr></table>
** R plotting
+
<table width="100%"><tr class="s1"><td class="l2">[[Perl programming exercises 1]]</td></tr></table>
** [[R programming]]
+
<table width="100%"><tr class="s2"><td class="l2">[[Perl programming exercises 2]]</td></tr></table>
** R EDA
+
<table width="100%"><tr class="s1"><td class="l2">[[Perl programming Data Structures]]</td></tr></table>
** R regression
+
<table width="100%"><tr class="s2"><td class="l2">[[Perl references]]</td></tr></table>
** R PCA
+
<table width="100%"><tr class="s1"><td class="l2">[[Perl simulation]]</td></tr></table>
** R Clustering
+
<table width="100%"><tr class="s2"><td class="l2">[[Perl: Object oriented programming]]</td></tr></table>
** R Classification <!-- Phrasing inquiry as a classification problem, dealing with noisy data, machine learning approaches to classification, implementation in R) -->
+
<table width="100%"><tr class="s1"><td class="l2">[[Perl: Ugly programming]]</td></tr></table>
** R hypothesis testing
+
</div>
** [[Bioconductor]]
+
</td></tr>
  
;Applications
+
<tr class="s1"><td class="l1">[[BioPerl]]</td></tr>
* [[Data integration]] <!-- Add BioMart: Biodata integration, and data-mining of complex, related, descriptive data -->
+
<tr class="s2"><td class="l1">[[PHP]]</td></tr>
* Text mining <!-- (Use cases, tasks and metrics, taggers, vocabulary mapping, Practicals: R-support, Python/Perl support, others...) -->
+
<tr class="s1"><td class="l1">[[Data modelling]]</td></tr>
* [[HMMER]]
+
<tr class="s2"><td class="l1">BioPython <!-- (scope, highlights, installation, use, support) --></td></tr>
* High-throughput sequencing
+
<tr class="s1"><td class="l1">Graphical output <!-- (PNG and SVG) --></td></tr>
* Functional annotation <!-- GFF -->
+
<tr class="s2"><td class="l1">[[Autonomous agents]]</td></tr>
* Microarray analysis <!-- (... in R: differential expression and multiple testing; Loading and normalizing data, calculating differential expression, LOWESS, the question of significance, FWERs: Bonferroni and FDR; SAM and LIMMA) -->
+
</table>
 +
 
 +
===Algorithms===
 +
<table width="100%" >
 +
<tr class="sh"><td class="l1">Algorithms on Sequences</td></tr>
 +
<tr class="s1"><td class="l2">[[Dynamic Programming]]</td></tr>
 +
<tr class="s2"><td class="l2">[[Multiple Sequence Alignment]]</td></tr>
 +
<tr class="s1"><td class="l2">[[Genome Assembly]]</td></tr>
 +
 
 +
<tr><td class="sp">&nbsp;</td></tr>
 +
 
 +
<tr class="sh"><td class="l1">Algorithms on Structures</td></tr>
 +
<tr class="s1"><td class="l2">[[Docking]]</td></tr>
 +
<tr class="s2"><td class="l2">Protein Structure Prediction <!-- ''ab initio'' --></td></tr>
 +
 
 +
<tr><td class="sp">&nbsp;</td></tr>
 +
 
 +
<tr class="sh"><td class="l1">Algorithms on Trees</td></tr>
 +
<tr class="s1"><td class="l2">Computing with trees <!-- Bayesian approaches for phylogenetic trees, tree comparison) --></td></tr>
 +
 
 +
<tr><td class="sp">&nbsp;</td></tr>
 +
 
 +
<tr class="sh"><td class="l1">Algorithms on Networks</td></tr>
 +
<tr class="s1"><td class="l2">Network metrics <!-- (Degree distributions, Centrality metrics, other metrics on topology, small-world- vs. random-geometric controversy) --></td></tr>
 +
<tr class="s2"><td class="l3">[[Dijkstras Algorithm]]</td></tr>
 +
<tr class="s1"><td class="l3">[[Floyd Warshall Algorithm]]</td></tr>
 +
</table>
 +
 
 +
 
 +
===Communication and collaboration===
 +
<table width="100%" >
 +
<tr class="s1"><td class="l1">[[MediaWiki]]</td></tr>
 +
<tr class="s2"><td class="l1">[[HTML essentials]]</td></tr>
 +
<tr class="s1"><td class="l1">[[HTML 5]]</td></tr>
 +
<tr class="s2"><td class="l1">[[SADI|SADI Semantic Automated Discovery and Integration]]</td></tr>
 +
<tr class="s1"><td class="l1">[[CGI]]</td></tr>
 +
<tr><td class="sp">&nbsp;</td></tr>
 +
</table>
 +
 
 +
===Statistics===
 +
<table width="100%" >
 +
<tr class="s1"><td class="l1">[[Pattern discovery]]</td></tr>
 +
<tr class="s2"><td class="l1">Correlation <!-- (Covariance matrices and their interpretation, application to large problems, collaborative filtering, MIC and MINE) --></td></tr>
 +
<tr class="s1"><td class="l1">Clustering methods <!-- (Algorithms and choice (including: hierarchical, model-based and partition clustering, graphical methods (MCL), flow based methods (RRW) and spectral methods). Implementation in R if possible) --></td></tr>
 +
<tr class="s2"><td class="l1">Cluster metrics <!-- (Cluster quality metrics (Akaike, BIC)–when and how) --></td></tr>
 +
<tr class="s1"><td class="l1">[[Map equation|The Map Equation]] </td></tr>
 +
<tr class="s2"><td class="l1">Machine learning <!-- (Classification problems: Neural Networks, HMMs, SVM..) --></td></tr>
 +
 
 +
<tr class="s1"><td class="l1 mw-collapsible mw-collapsed" data-expandtext="Expand subtopics" data-collapsetext="Collapse">[[R]]
 +
<div class="mw-collapsible-content">
 +
<table width="100%"><tr class="s2"><td class="l2">R plotting</td></tr></table>
 +
<table width="100%"><tr class="s1"><td class="l2">[[R programming]]</td></tr></table>
 +
<table width="100%"><tr class="s2"><td class="l2">R EDA</td></tr></table>
 +
<table width="100%"><tr class="s1"><td class="l2">R regression</td></tr></table>
 +
<table width="100%"><tr class="s2"><td class="l2">R PCA</td></tr></table>
 +
<table width="100%"><tr class="s1"><td class="l2">R Clustering</td></tr></table>
 +
<table width="100%"><tr class="s2"><td class="l2">R Classification <!-- Phrasing inquiry as a classification problem, dealing with noisy data, machine learning approaches to classification, implementation in R) --></td></tr></table>
 +
<table width="100%"><tr class="s1"><td class="l2">R hypothesis testing</td></tr></table>
 +
<table width="100%"><tr class="s2"><td class="l2">[[Bioconductor]]</td></tr></table>
 +
</div>
 +
</td></tr>
 +
 
 +
<tr><td class="sp">&nbsp;</td></tr>
 +
</table>
 +
 
 +
===Applications===
 +
<table width="100%" >
 +
<tr class="s1"><td class="l1">[[Data integration]] <!-- Add BioMart: Biodata integration, and data-mining of complex, related, descriptive data --></td></tr>
 +
<tr class="s2"><td class="l1">Text mining <!-- (Use cases, tasks and metrics, taggers, vocabulary mapping, Practicals: R-support, Python/Perl support, others...) --></td></tr>
 +
<tr class="s1"><td class="l1">[[HMMER]]</td></tr>
 +
<tr class="s2"><td class="l1">High-throughput sequencing</td></tr>
 +
<tr class="s1"><td class="l1">Functional annotation <!-- GFF --></td></tr>
 +
<tr class="s2"><td class="l1">Microarray analysis <!-- (... in R: differential expression and multiple testing; Loading and normalizing data, calculating differential expression, LOWESS, the question of significance, FWERs: Bonferroni and FDR; SAM and LIMMA) --></td></tr>
 +
<tr><td class="sp">&nbsp;</td></tr>
 +
</table>
 +
</td></tr></table>
  
 
</div>
 
</div>

Latest revision as of 12:44, 27 September 2015

 

Hardware

High performance computing
Cloud computing
 

Systems and Tools

Unix
Network Configuration
Apache
MySQL
Tools for the bioinformatics lab
GBrowse and LDAS
 

Programming

IDE (Integrated Development Environment)
Regular Expressions
Screenscraping
Perl
BioPerl
PHP
Data modelling
BioPython
Graphical output
Autonomous agents

Algorithms

Algorithms on Sequences
Dynamic Programming
Multiple Sequence Alignment
Genome Assembly
 
Algorithms on Structures
Docking
Protein Structure Prediction
 
Algorithms on Trees
Computing with trees
 
Algorithms on Networks
Network metrics
Dijkstras Algorithm
Floyd Warshall Algorithm


Communication and collaboration

MediaWiki
HTML essentials
HTML 5
SADI Semantic Automated Discovery and Integration
CGI
 

Statistics

Pattern discovery
Correlation
Clustering methods
Cluster metrics
The Map Equation
Machine learning
R
R plotting
R programming
R EDA
R regression
R PCA
R Clustering
R Classification
R hypothesis testing
Bioconductor
 

Applications

Data integration
Text mining
HMMER
High-throughput sequencing
Functional annotation
Microarray analysis