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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/19633?offset=1380</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43896/list-of-comparative-genomics-resources</guid>
	<pubDate>Tue, 28 Jun 2022 04:08:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43896/list-of-comparative-genomics-resources</link>
	<title><![CDATA[List of comparative genomics resources !]]></title>
	<description><![CDATA[<div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1096638041"><span>3D-GENOMICS -- A Database to Compare Structural and Functional Annotations of Proteins between Sequenced Genomes</span></a></div><p>Compare structural and functional annotations of proteins between sequenced genomes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1100640374"><span>ARED Organism -- expansion of ARED reveals AU-rich element cluster variations between human and mouse</span></a></div><p>View AREs in the human transcriptome and study the comparative genomics of AREs in model organisms.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1234973128"><span>ATGC -- Alignable Tight Genomic Clusters Database</span></a></div><p>Find information about orthologous genes in prokaryotes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1174596104"><span>AnimalQTLdb -- a livestock QTL database tool set for positional QTL information mining and beyond</span></a></div><p>Search for publicly available QTL data on livestocks and animal species.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL20110518150135"><span>BGDB -- Bovine Genome Database</span></a></div><p>Find information about bovine genomics data.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1229012662"><span>COMPARE -- a multi-organism system for cross-species data comparison and transfer of information</span></a></div><p>A multi-organism web-based resource system designed to easily retrieve, correlate and interpret data across species.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1218141952"><span>CONDOR -- COnserved Non-coDing Orthologous Regions</span></a></div><p>A database resource of developmentally associated conserved non-coding elements.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1099057221"><span>CORG -- A database for COmparative Regulatory Genomics</span></a></div><p>Delineate conserved non-coding blocks from upstream regions of putative orthologous gene pairs from man, mouse, rat, fugu, Mus musculus, Danio rerio, and zebrafish.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1203608896"><span>COXPRESdb -- a database of coexpressed gene networks in mammals</span></a></div><p>Find coexpressed gene lists and networks in human and mouse.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1097763045"><span>CVTree -- A Phylogenetic Tree Reconstruction Tool Based on Whole Genomes</span></a></div><p>Construct phylogenetic tree of microorganisms based on oligopeptide content of their complete proteomes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1232729680"><span>CleanEST -- the cleansed EST libraries database</span></a></div><p>A novel database server that classifies GenBank's dbEST (database of expressed gene sequences) libraries and removes contaminants.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1256926144"><span>CoCoa -- COefficient of COAncestry software</span></a></div><p>Find information about the ancestral relationship between genes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1227549154"><span>CoGemiR -- a comparative genomics microRNA database</span></a></div><p>Provides an overview of the genomic organization of microRNAs and extent of conservation during evolution in different metazoan species.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1117678221"><span>Comparative Genometrics (CG) -- a database dedicated to biometric comparisons of whole genomes</span></a></div><p>Conduct comparative biometric analysis of chromosomes of different organisms.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1151007916"><span>DoTS -- Database Of Transcribed Sequences</span></a></div><p>Search for Indices of gene and transcripts in human and mouse.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1174510065"><span>DroSpeGe -- rapid access database for new Drosophila species genomes</span></a></div><p>Search and compare 12 new and old Drosophila genomes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1098208414"><span>ECR Browser -- A Tool for Visualizing and Accessing Data from Comparisons of Multiple Vertebrate Genomes</span></a></div><p>Access to whole genome alignments of human, mouse, rat and fish sequences.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1209738459"><span>EPGD -- Eukaryotic Paralog Group Database</span></a></div><p>Find eukaryotic paralog/paralogon information.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1232726869"><span>EVOG -- evolutionary visualizer for overlapping genes</span></a></div><p>Analyze the evolutionary process of overlapping genes when comparing different species.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1227633714"><span>GNAT -- Inter-species gene mention normalization (ISGN)</span></a></div><p>The first publicly available system reported to handle inter-species gene mention normalization.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1229438992"><span>GenColors -- annotation and comparative genomics of prokaryotes made easy</span></a></div><p>A web-based software/database system aimed at an improved and accelerated annotation of prokaryotic genomes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1151086258"><span>GeneNest gene indices</span></a></div><p>Visualize gene indices of human, mouse, Arabidopsis, Zebrafish, Drosophila and Sheep.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1174489378"><span>GenomeTrafac -- a whole genome resource for the detection of transcription factor binding site clusters associated with conventional and microRNA encoding genes conserved between mouse and human gene orthologs</span></a></div><p>Use comparative genomics approach to characterize gene models and identify putative cis-regulatory regions of RefSeq Gene Orthologs.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL20110518150753"><span>IKMC -- International Knockout Mouse Consortium web portal</span></a></div><p>Find information about mutated mouse genes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1209411604"><span>IMG/M -- Integrated Microbial Genomes/Metagenomes</span></a></div><p>A data management and analysis system for metagenomes</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1234976694"><span>ISED -- Influenza sequence and epitope database.</span></a></div><p>Search for influenza sequence, vaccine, and drug resistance information.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL20140710115515"><span>LAMDHI: The Search for Animal Models Starts Here</span></a></div><p>LAMHDI, the initiative to Link Animal Models to Human DIsease, is designed to accelerate the research process by providing biomedical researchers with a simple, comprehensive Web-based resource to find the best animal models for their research.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1228843803"><span>MANTIS -- a phylogenetic framework for multi-species genome comparisons</span></a></div><p>The missing link between multi-species full genome comparisons and functional analysis.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1099578148"><span>MBGD -- Microbial genome database for comparative analysis</span></a></div><p>Conduct comparative analysis of completely sequenced microbial genomes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1221077729"><span>MEGA -- Molecular Evolutionary Genetics Analysis</span></a></div><p>A biologist-centric software for evolutionary analysis of DNA and protein sequences.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1174596756"><span>MamPol -- a database of nucleotide polymorphism in the Mammalia class</span></a></div><p>Conduct single nucleotide polymorphisms diversity measurements among homologous sequences from the Mammalia class.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1266437314"><span>MicrobesOnline -- Prokaryotic Genome Database</span></a></div><p>Find information about 1000s of microbial genomes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1208461006"><span>Narcisse -- a mirror view of conserved syntenies</span></a></div><p>A database dedicated to the study of genome conservation.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1219772764"><span>OMA -- the Orthologous MAtrix project</span></a></div><p>Explore orthologous relations across 352 complete genomes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1209738741"><span>OPTIC -- orthologous and paralogous transcripts in clades</span></a></div><p>Browse complete genomes in several clades.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1209573208"><span>OrthoDB -- the hierarchical catalog of eukaryotic orthologs</span></a></div><p>Find groups of orthologous genes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1221231200"><span>OrthoMaM -- orthologous mammalian markers</span></a></div><p>A database of orthologous genomic markers for placental mammal phylogenetics.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1100009979"><span>PEDANT -- Protein Extraction, Description and ANalysis Tool</span></a></div><p>Conduct genome wide functional and structural analysis.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1174489475"><span>PReMod -- a database of genome-wide mammalian cis-regulatory module predictions</span></a></div><p>Conduct genome-wide cis-regulatory module (CRM) predictions for both the human and the mouse genomes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1151083092"><span>PhenomicDB -- Comparison of phenotypes of orthologous genes in human and model organisms</span></a></div><p>Compare phenotypes of a given gene or gene set in different model organisms.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1190899370"><span>Phylemon -- A suite of web tools for molecular evolution, phylogenetics and phylogenomics</span></a></div><p>Phylemon is a web server that integrates a selected suite of more than 20 different tools from the most popular stand-alone programs of phylogenetic and evolutionary analysis.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1232555615"><span>PhyloPat -- the phylogenetic pattern database</span></a></div><p>Use this database to see where in the evolution some phylogenetic lineages were started, and over which species they were contained.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1174510223"><span>Pristionchus.org -- a genome-centric database of the nematode satellite species Pristionchus pacificus</span></a></div><p>Search for genomic information on nematode satellite species Pristionchus pacificus.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1236367352"><span>ProtClustDB -- NCBI Protein Clusters Database</span></a></div><p>Find information about related protein sequences.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1209410278"><span>ProtozoaDB -- database of protozoan genomes</span></a></div><p>Database hosting genomics and post-genomics data from multiple protozoans.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1232554690"><span>Pseudofam -- the pseudogene families database</span></a></div><p>A database of pseudogene families based on the protein families from the Pfam database.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL20110518151439"><span>RIDM - RIKEN Integrated Database of Mammals</span></a></div><p>Find genomic information about mammals.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1272562567"><span>RegPrecise -- Regulon Prediction Database</span></a></div><p>Find information about predicted regulons in prokaryotic transcription regulation.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1272477473"><span>SALAD -- Surveyed contained motif ALignment diagram and the Associating Dendrogram</span></a></div><p>Perform systematic comparison of proteome data among species.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1229010765"><span>SGN -- SOL Genomics Network</span></a></div><p>A comparative map viewer dedicated to the biology of the Solanaceae family.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1256669040"><span>ShotgunFunctionalizeR -- R-package for functional comparison of metagenomes</span></a></div><p>Analyze data from functional analysis on fragmented microbial genetic material.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1256238439"><span>SnoopCGH -- Comparative Genomic Hybridization software</span></a></div><p>Visualize and explore comparative genomic hybridization data sets.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1174489598"><span>SwissRegulon -- a database of genome-wide annotations of regulatory sites</span></a></div><p>Search for genome-wide annotations of regulatory sites in yeast and prokaryotes genomes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1229013521"><span>TaxonGap -- a visualization tool for intra- and inter-species variation among individual biomarkers</span></a></div><p>Compare and select individual biomarkers.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1106063477"><span>The Adaptive Evolution Database (TAED) -- a phylogeny based tool for comparative genomics</span></a></div><p>Search for information on adaptive evolution in gene families of higher plants and chordate.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1216742716"><span>The CGView Server -- a comparative genomics tool for circular genomes</span></a></div><p>Generate graphical maps of circular genomes that show sequence features, base composition plots, analysis results and sequence similarity plots.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1099663588"><span>The ERGO -- Genome analysis and discovery system</span></a></div><p>Conduct a comprehensive analysis of genes and genomes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1177611772"><span>The Macaque Genome: Interactive Poster and Teaching Resource</span></a></div><p>An interactive online poster presentation on the Macaque genome, including high-quality images, video clips, and Web resources</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1103816940"><span>The TIGR Gene Indices -- clustering and assembling EST and known genes and integration with eukaryotic genomes</span></a></div><p>Search for annotated genetic information of expressed sequence tags (ESTs) in different eukaryotic organisms.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1043767169"><span>UniGene</span></a></div><p>Find mapping and expression information for a unigene cluster (ESTs and full-length mRNA sequences organized into clusters that each represent a unique known or putative gene)</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1216738072"><span>Uprobe -- universal overgo hybridization-based probe retrieval and design</span></a></div><p>A public online resource for identifying or designing 'universal' overgo-hybridization probes from conserved sequences that can be used to efficiently screen one or more genomic libraries from a designated group of species.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1098205291"><span>VISTA -- Computational Tools for Comparative Genomics</span></a></div><p>Comprehensive suite of programs and databases for comparative analysis of genomic sequences.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL20110518144404"><span>cBARBEL -- Catfish Breeder and Researcher Bioinformatics Entry Location</span></a></div><p>Find information about ictalurid catfish.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1209738040"><span>eggNOG -- evolutionary genealogy of genes: Non-supervised Orthologous Groups</span></a></div><p>Discover orthologous groups of genes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1234370319"><span>metaTIGER -- a metabolic gene evolution resource</span></a></div><p>Find metabolic networks and phylogenomic information on a taxonomically diverse range of eukaryotes.</p></div><div><div><a href="https://www.hsls.pitt.edu/obrc/index.php?page=URL1138901833"><span>xBASE -- a collection of online databases for bacterial comparative genomics</span></a></div><p>Conduct bacterial comparative genomics.</p></div>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37937/frodock-20-fast-protein%E2%80%93protein-docking-server</guid>
	<pubDate>Wed, 17 Oct 2018 04:31:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37937/frodock-20-fast-protein%E2%80%93protein-docking-server</link>
	<title><![CDATA[FRODOCK 2.0: fast protein–protein docking server]]></title>
	<description><![CDATA[<p><span>frodock: a&nbsp;user-friendly protein&ndash;protein docking server based on an improved version of FRODOCK that includes a complementary knowledge-based potential. The web interface provides a very effective tool to explore and select protein&ndash;protein models and interactively screen them against experimental distance constraints. The competitive success rates and efficiency achieved allow the retrieval of reliable potential protein&ndash;protein binding conformations that can be further refined with more computationally demanding strategies.</span></p><p>Address of the bookmark: <a href="http://frodock.chaconlab.org/" rel="nofollow">http://frodock.chaconlab.org/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40865/dminda2-an-integrated-web-server-for-dna-motif-identification-and-analyses</guid>
	<pubDate>Sun, 02 Feb 2020 14:26:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40865/dminda2-an-integrated-web-server-for-dna-motif-identification-and-analyses</link>
	<title><![CDATA[DMINDA2: an integrated web server for DNA motif identification and analyses]]></title>
	<description><![CDATA[<p><span>DMINDA (</span><strong>D</strong><span>NA&nbsp;</span><strong>m</strong><span>otif&nbsp;</span><strong>i</strong><span>dentification a</span><strong>nd a</strong><span>nalyses) is an integrated web server for DNA motif identification and analyses</span></p>
<p><span>More at&nbsp;http://bmbl.sdstate.edu/DMINDA2/</span></p>
<p><span><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086085/">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086085/</a></span></p><p>Address of the bookmark: <a href="http://bmbl.sdstate.edu/DMINDA2/" rel="nofollow">http://bmbl.sdstate.edu/DMINDA2/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41825/hnadock-a-nucleic-acid-docking-server-for-modeling-rnadna%E2%80%93rnadna-3d-complex-structures</guid>
	<pubDate>Thu, 04 Jun 2020 23:19:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41825/hnadock-a-nucleic-acid-docking-server-for-modeling-rnadna%E2%80%93rnadna-3d-complex-structures</link>
	<title><![CDATA[HNADOCK: a nucleic acid docking server for modeling RNA/DNA–RNA/DNA 3D complex structures]]></title>
	<description><![CDATA[<p><span>The HNADOCK server is to predict the binding complex structure between two nucleic acid molecules through a hierarchical docking algorihtm of an FFT-based global search strategy and an intrinsic scoring function for nucleic acid interactions. Users are required to provide the three-dimensional (3D) structures of the two molecules to be docked.&nbsp;</span></p><p>Address of the bookmark: <a href="http://huanglab.phys.hust.edu.cn/hnadock/" rel="nofollow">http://huanglab.phys.hust.edu.cn/hnadock/</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43911/slurm-commands</guid>
	<pubDate>Wed, 06 Jul 2022 07:40:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43911/slurm-commands</link>
	<title><![CDATA[SLURM Commands]]></title>
	<description><![CDATA[<h3>SLURM commands</h3><p>The following table shows SLURM commands on the SOE cluster.</p><table border="1">
<thead>
<tr><th>Command</th><th>Description</th></tr>
</thead>
<tbody>
<tr>
<td><strong>sbatch</strong></td>
<td>Submit batch scripts to the cluster</td>
</tr>
<tr>
<td><strong>scancel</strong></td>
<td>Signal jobs or job steps that are under the control of Slurm.</td>
</tr>
<tr>
<td><strong>sinfo</strong></td>
<td>View information about SLURM nodes and partitions.</td>
</tr>
<tr>
<td><strong>squeue</strong></td>
<td>View information about jobs located in the SLURM scheduling queue</td>
</tr>
<tr>
<td><strong>smap</strong></td>
<td>Graphically view information about SLURM jobs, partitions, and set configurations parameters</td>
</tr>
<tr>
<td><strong>sqlog</strong></td>
<td>View information about running and finished jobs</td>
</tr>
<tr>
<td><strong>sacct</strong></td>
<td>View resource accounting information for finished and running jobs</td>
</tr>
<tr>
<td><strong>sstat</strong></td>
<td>View resource accounting information for running jobs</td>
</tr>
</tbody>
</table><p><span>For more information, run&nbsp;</span><strong>man</strong><span>&nbsp;on the commands above. See some examples below.</span><br /><br /><span style="font-size: large;"><strong>1. Info about the partitions and nodes</strong></span><span></span><br /><span>List all the partitions available to you and the nodes therein:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sinfo
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>Nodes in state&nbsp;</span><tt>idle</tt><span>&nbsp;can accept new jobs.</span><br /><br /><span>Show a partition configuratuin, for example,&nbsp;</span><tt>SOE_main</tt><span></span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scontrol show partition=SOE_main
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>Show current info about a specific node:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scontrol show node=&lt;nodename&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>You can also specify a group of nodes in the command above. For example, if your MPI job is running across soenode05,06,35,36, you can execute the command below to get the info on the nodes you are interested in:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scontrol show node=soenode[05-06,35-36]
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>An informative parameter in the output to look at would be CPULoad. It allows you to see how your application utilizes the CPUs on the running nodes.</span><br /><br /><span style="font-size: large;"><strong>2. Submit scripts</strong></span><span></span><br /><span>The header in a submit script specifies job name, partition (queue), time limit, memory allocation, number of nodes, number of cores, and files to collect standard output and error at run time, for example</span></p><div><table border="1">
<tbody>
<tr>
<td>
<pre>#!/bin/bash

#SBATCH --job-name=OMP_run     # job name, "OMP_run"
#SBATCH --partition=SOE_main   # partition (queue)
#SBATCH -t 0-2:00              # time limit: (D-HH:MM) 
#SBATCH --mem=32000            # memory per node in MB 
#SBATCH --nodes=1              # number of nodes
#SBATCH --ntasks-per-node=16   # number of cores
#SBATCH --output=slurm.out     # file to collect standard output
#SBATCH --error=slurm.err      # file to collect standard errors
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>If the time limit is not specified in the submit script, SLURM will assign the default run time, 3 days. This means the job will be terminated by SLURM in 72 hrs. The maximum allowed run time is two weeks,&nbsp;</span><tt>14-0:00</tt><span>.</span><br /><span>If the memory limit is not requested, SLURM will assign the default 16 GB. The maximum allowed memory per node is 128 GB. To see how much RAM per node your job is using, you can run commands&nbsp;</span><tt>sacct</tt><span>&nbsp;or&nbsp;</span><tt>sstat</tt><span>&nbsp;to query MaxRSS for the job on the node - see examples below.</span><br /><span>Depending on a type of application you need to run, the submit script may contain commands to create a temporary space on a computational node -&nbsp;</span><a href="http://ecs.rutgers.edu/file_systems.html">see the discussion about using the file systems on the cluster.</a><span></span><br /><span>Then it sets the environment specific to the application and starts the application on one or multiple nodes - see sbatch sample scripts in directory&nbsp;</span><tt>/usr/local/Samples</tt><span>&nbsp;on soemaster1.hpc.rutgers.edu.</span><br /><span>You can submit your job to the cluster with&nbsp;</span><tt>sbatch</tt><span>&nbsp;command:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sbatch myscript.sh
</pre>
</td>
</tr>
</tbody>
</table></div><p><br /><span style="font-size: large;"><strong>3. Query job information</strong></span><span></span><br /><span>List all currently submitted jobs in running and pending states for a user:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>squeue -u &lt;username&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>Command&nbsp;</span><tt>squeue</tt><span>&nbsp;can be run with format options to expose specific information, for example, when pending job #706 is scheduled to start running:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>squeue -j 706 --format="%S"
</pre>
</td>
</tr>
</tbody>
</table></div><div><table border="1">
<tbody>
<tr>
<td>
<pre>START_TIME
2015-04-30T09:54:32
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>More info can be shown by placing additional format options, for example:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>squeue -j 706 --format="%i %P %j %u %T %l %C %S"
</pre>
</td>
</tr>
</tbody>
</table></div><div><table border="1">
<tbody>
<tr>
<td>
<pre>JOBID PARTITION   NAME    USER STATE   TIMELIMIT  CPUS START_TIME
706   SOE_main  Par_job_3 mike PENDING 3-00:00:00 64   2015-04-30T09:54:32
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To see when all the jobs, pending in the queue, are scheduled to start:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>squeue --start 
</pre>
</td>
</tr>
</tbody>
</table></div><p><br /><span>List all running and completed jobs for a user</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sqlog -u &lt;username&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>or</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sqlog -j &lt;JobID&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>The following appreviations are used for the job states:</span></p><pre>       CA   CANCELLED      Job was cancelled.

       CD   COMPLETED      Job completed normally.

       CG   COMPLETING     Job is in the process of completing.

       F    FAILED         Job termined abnormally.

       NF   NODE_FAIL      Job terminated due to node failure.

       PD   PENDING        Job is pending allocation.

       R    RUNNING        Job currently has an allocation.

       S    SUSPENDED      Job is suspended.

       TO   TIMEOUT        Job terminated upon reaching its time limit.
</pre><p><span>You can specify the fields you would like to see in the output of&nbsp;</span><tt>sqlog</tt><span>:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sqlog --format=list
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>The command below, for example, provides Job ID, user name, exit state, start date-time, and end date-time for job #2831:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sqlog -j 2831 --format=jid,user,state,start,end
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>List status info for a currently running job:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sstat -j &lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>A formatted output can be used to gain only a specific info, for example, the maximum resident RAM usage on a node:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sstat --format="JobID,MaxRSS" -j &lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To get statistics on completed jobs by jobID:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sacct --format="JobID,JobName,MaxRSS,Elapsed" -j &lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To view the same information for all jobs of a user:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sacct --format="JobID,JobName,MaxRSS,Elapsed" -u &lt;username&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To print a list of fields that can be specified with the&nbsp;</span><tt>--format</tt><span>&nbsp;option:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sacct --helpformat
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>For example, to get Job ID, Job name, Exit state, start date-time, and end date-time for job #2831:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sacct -j 2831 --format="JobID,JobName,State,Start,End"
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>Another useful command to gain information about a running job is&nbsp;</span><tt>scontrol</tt><span>:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scontrol show job=&lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><br /><span style="font-size: large;"><strong>4. Cancel a job</strong></span><span></span><br /><span>To cancel one job:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scancel &lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To cancel one job and delete the TMP directory created by the submit script on a node:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sdel &lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To cancel all the jobs for a user:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scancel -u &lt;username&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To cancel one or more jobs by name:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scancel --name &lt;myJobName&gt;
</pre>
</td>
</tr>
</tbody>
</table></div>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24178/essentials-of-statistics-and-data-analysis-using-r</guid>
  <pubDate>Mon, 31 Aug 2015 01:32:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[Essentials of Statistics and Data Analysis using R]]></title>
  <description><![CDATA[
<p>Clinical Development Services Agency (CDSA) is an extramural unit of Translational Health Science and Technology Institute (THSTI), Department of Biotechnology, Ministry of Science &amp; Technology, Government of India. CDSA has a national mandate of strengthening capacity and capability building in the area of Clinical development and Translational Research.</p>

<p>CDSA is pleased to announce a 4 days hands-on training program on “Essentials of Statistics and Data Analysis using R” at ICGEB, Aruna Asaf Ali Road, New Delhi on December 1 – 4, 2015. This will involve developing and enhancing skills to understand basic principles of statistics for summarizing data and use of appropriate statistical tests as well as providing an understanding of data analysis using R. Didactic lectures with practical sessions will be delivered by experienced faculties from AIIMS and Novartis. Live classroom with power point presentations, case studies, mock exercise, practical sessions on R, group work with time for discussion and Q&amp;A sessions are added advantages of this workshop.</p>

<p>Please contact gayatrivishwakarma.cdsa@thsti.res.in or vineetabaloni.cdsa@thsti.res.in for program and registration details.</p>

<p>Please nominate personage or register yourself on or before November 6, 2015 along with the electronic transfer of registration fee.</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24298/staff-scientists-at-national-institute-of-plant-genome-research-new-delhi</guid>
  <pubDate>Fri, 04 Sep 2015 22:06:59 -0500</pubDate>
  <link></link>
  <title><![CDATA[Staff Scientists at National Institute of Plant Genome Research, New Delhi]]></title>
  <description><![CDATA[
<p>National Institute of Plant Genome Research, New Delhi is an Autonomous Research Institution funded by Department of Biotechnology, Ministry of Science &amp; Technology, Govt. of India, to pursue research on various aspects of plant genomics. The Institute is also in the process of establishing a NIPGR Translational Centre at Biotech Science Cluster, NCR, Faridabad. NIPGR invites applications from Indian Citizens for filling up the vacant posts on Direct Recruitment basis, as detailed below. The posts are temporary but likely to continue.</p>

<p>Staff Scientists</p>

<p>Specialization: Applicant should have a Ph.D. with excellent academic credentials along with the track record of scientific productivity evidenced by publications/patents/products in the frontier areas of Plant Biology such as, Computational Biology, Genome Analysis and Molecular Mapping, Molecular Mechanism of Abiotic Stress Responses, Nutritional Genomics, Plant Development and Architecture, Plant Immunity, Molecular Breeding, Transgenics for crop improvement and other emerging areas based on plant genomics.</p>

<p>Remuneration: The length of experience and scientific accomplishments/quality of scientific productivity record will be major factors in deciding the level of appointment as Staff Scientist as well as starting salary in the Pay Bands of Rs 15,600-39,100 (with grade pay of  5400), and Rs 37,400-67,000 (with grade pay of  8,700 and  8,900) plus usual allowances admissible to the Central Government employees. However, NIPGR reserves the right to select candidates in the lower grade against the foregoing posts depending upon the qualifications and experience of the candidate. Reservation of posts shall be as per Govt. of India norms. Five posts (SC-2, ST-1, OBC-2) in the Pay Band of Rs 15,600-39,100 with Grade Pay of  Rs 5400, are reserved.</p>

<p>More at http://www.nipgr.res.in/careers/vacancies_latest.php#</p>

<p>Apply online at http://www.nipgr.res.in/nipgr_recu/nipgr_recu.php</p>

<p>Form http://www.nipgr.res.in/files/careers/Application_Performa_2015.doc</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31278/metapred2cs</guid>
	<pubDate>Fri, 03 Mar 2017 05:15:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31278/metapred2cs</link>
	<title><![CDATA[MetaPred2CS]]></title>
	<description><![CDATA[<p style="text-align: justify;"><strong>MetaPred2CS Web server&nbsp;</strong>is a meta-predictor based on&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/17160063">Support Vector Machine (SVM)</a>&nbsp;that combines 6 individual sequence based protein-protein interaction prediction methods to predict&nbsp;<strong>prokaryotic two-component system&nbsp;</strong>protein-protein interactions (PPIs). The methods implemented in MetaPred2CS are 2 co-evolutionary methods:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/11933068">in-silico two hybrid (i2h)</a>&nbsp;and&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/11707606">mirror tree (MT)</a>&nbsp;methods and 4 genomics context based methods:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/15947018">phylogenetic profiling (PP)</a>,&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/10573422">gene fusion (GF)</a>,&nbsp;<a href="http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.0030043">gene neighbourhood (GN)</a>&nbsp;and and&nbsp;<a href="http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.0030043">gene operon methods (GO)</a>.</p>
<p>&nbsp;http://metapred2cs.ibers.aber.ac.uk/</p><p>Address of the bookmark: <a href="https://github.com/martinjvickers/MetaPred2CS" rel="nofollow">https://github.com/martinjvickers/MetaPred2CS</a></p>]]></description>
	<dc:creator>Manisha Mishra</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27253/ra-bioinformatics-at-jnu-delhi</guid>
  <pubDate>Tue, 10 May 2016 01:50:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[R.A Bioinformatics at JNU, Delhi]]></title>
  <description><![CDATA[
<p>R.A Jobs opportunity in Jawaharlal Nehru University (JNU) on purely temporary basis</p>

<p>Project Title : "Structural and functional characterization of serine biosynthetic pathway enzymes from Entamoeba histolytica"</p>

<p>No. of Post : 01</p>

<p>Qualification : Ph.D in any computational biology / bioinformatics</p>

<p>Desirable : 1. Experience with docking, simulations and structural biology with proof of publications is preferred. 2. National Eligibility Test cleared [CSIR/UGC] candidate is preferred.</p>

<p>Salary : According to CSIR rules<br />How to apply</p>

<p>The application on plain paper indicating name, date of birth/age, address, essential/technical/professional qualifications. experience, list of publications should reach The Prof. S. Gourinath, Principal Investigator, [Project Director], School of Life Sciences, Jawaharlal Nehru University, New Delhi-110067, on or before 23rd May 2016.</p>

<p>More at http://www.jnu.ac.in/Career/currentjobs.htm</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42955/post-doctoral-position-scientist-mfd-in-bioinformatics</guid>
  <pubDate>Mon, 15 Mar 2021 11:34:23 -0500</pubDate>
  <link></link>
  <title><![CDATA[Post-doctoral position / Scientist (m/f/d) in Bioinformatics]]></title>
  <description><![CDATA[
<p>The Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. in Dortmund is looking for a Post-doctoral position / Scientist (m/f/d) in Bioinformatics</p>

<p>More at</p>

<p>https://www.isas.de/files/redaktion/jobs/2021/18.60.1_Postdoc_deNBI_06_21_AS.pdf</p>

<p>https://www.isas.de/en/news/062021-post-doctoral-position-scientist-mfd-in-bioinformatics</p>
]]></description>
</item>

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