<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>https://wiki.devclub.in/index.php?action=history&amp;feed=atom&amp;title=SBL600</id>
	<title>SBL600 - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://wiki.devclub.in/index.php?action=history&amp;feed=atom&amp;title=SBL600"/>
	<link rel="alternate" type="text/html" href="https://wiki.devclub.in/index.php?title=SBL600&amp;action=history"/>
	<updated>2026-04-09T05:45:32Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.45.1</generator>
	<entry>
		<id>https://wiki.devclub.in/index.php?title=SBL600&amp;diff=2278&amp;oldid=prev</id>
		<title>Prashantt492: Creating course page via bot</title>
		<link rel="alternate" type="text/html" href="https://wiki.devclub.in/index.php?title=SBL600&amp;diff=2278&amp;oldid=prev"/>
		<updated>2026-03-04T10:23:25Z</updated>

		<summary type="html">&lt;p&gt;Creating course page via bot&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Infobox Course&lt;br /&gt;
| code = SBL600&lt;br /&gt;
| name = Computational Biology and Data Analyses&lt;br /&gt;
| credits = 4&lt;br /&gt;
| credit_structure = 1-0-6&lt;br /&gt;
| pre_requisites = SBL510&lt;br /&gt;
| overlaps = &lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
== SBL600 : Computational Biology and Data Analyses ==&lt;br /&gt;
Basics of data: Introduction; biological sequence data sources and handling methods; sequence alignment: pairwise, multiple and local alignment, BLAST, pattern search, phylogenetics and evolutionary tree search, machine learning methods in sequence analysis; data retrieval from GEO and other databases- different formats of sequencing data; microarray technologies - differential gene expression analyses by microarrays, modelling DNA microarray data, network analyses; next-generation sequencing; variants of NGS- transcriptome, exome, ChIP-seqmethods and different challenges in data analyses; nanopore sequencing technology; genome sequence assembly- de novo, assembly methods and error correction; microbial genomics; OMICs methods and practices; Proteomics technologies; quantitative and qualitative proteomics; label-free and SILAC based quantifications; environmental proteomics- filtering and cleaning of MS data; case- studies with data accessed from MS data servers; omics data analyses pipelines- quality control, omics data analyses pipelines- quality control, logtransformation and normalization of omics data, file formats, algorithms, data visualization, PCA and statistical analyses; biomolecular structure determination methods; long range forces and potentials; structure visualization, coordinate systems; structure data repository and retrieval; structure prediction: ab-initio method, comparative protein structure modelling, ligand-protein interaction, ligand docking; basics of protein structural dynamics; metabolic networks: network model building, flux analyses, systems biology approaches: microscopy data – fixed and live-cell imaging, time-lapse videos, dyes and resolution, super-resolution microscopy.&lt;/div&gt;</summary>
		<author><name>Prashantt492</name></author>
	</entry>
</feed>