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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/14011?offset=440</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/13510/studentship-and-traineeship-in-bioinformatics-at-barkatullah-university-bhopal</guid>
  <pubDate>Thu, 07 Aug 2014 16:57:00 -0500</pubDate>
  <link></link>
  <title><![CDATA[Studentship and Traineeship in Bioinformatics at Barkatullah University, Bhopal]]></title>
  <description><![CDATA[
<p>Department of Biotechnology &amp; Bioinformatics Center<br />Barkatullah University, Bhopal – 462 026</p>

<p>Studentship and Traineeship in Bioinformatics</p>

<p>Applications are invited on plain paper from suitable candidates for Studentship and Traineeship (One each) at Bioinformatics Sub-Center as detailed below:</p>

<p>1. Studentship: Studentship is for those who have completed M. Sc. Degrees in Life Science.</p>

<p>Number of seats : One</p>

<p>Duration : Six months</p>

<p>Eligibility : Passed M.Sc. degree in Life Sciences.</p>

<p>Fellowship : Rs. 5000/- (Five thousand only) per month</p>

<p>2. Traineeship: Traineeship is for those who have completed M. Sc. Degrees in Life Science/Registered Ph. D. student in Life Sciences.</p>

<p>Number of seats : One</p>

<p>Duration : Six months</p>

<p>Eligibility : Passed M.Sc. degree in Life Sciences/ Registered Ph. D. student in Life Sciences</p>

<p>Fellowship : Rs. 5000/- (Five thousand only) per month</p>

<p>Preferences will be given to person who has experience in Bioinformatics and Computer<br />sciences. The application along with detailed bio-data should reach the undersigned, on or before 25th August 2014. Both, the studentship and the traineeship are temporary, will be discontinued after the six months from the date of Joining. It may be discontinued in-between without any notice, if the work is not found satisfactory.</p>

<p>Advertisement www.bioinfobubpl.nic.in/Advertisement_st.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44227/common-methods-to-discover-tandem-repeats</guid>
	<pubDate>Thu, 09 Mar 2023 02:40:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44227/common-methods-to-discover-tandem-repeats</link>
	<title><![CDATA[Common methods to discover tandem repeats]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><p>Tandem repeats are DNA sequences that are repeated in a contiguous manner in the genome. These sequences are often used as genetic markers and are important in many areas of genetics and genomics research. Here are some methods for discovering tandem repeats in genomes:</p><ol>
<li>
<p>Tandem Repeat Finder: Tandem Repeat Finder is a software tool that identifies tandem repeats in DNA sequences. It is available for free download and can be used on both nucleotide and protein sequences. The tool uses a statistical algorithm to identify repeats based on their length, copy number, and overall composition.</p>
</li>
<li>
<p>RepeatMasker: RepeatMasker is another software tool that can identify tandem repeats in DNA sequences. It works by comparing the input sequence to a database of known repeats and then identifies any tandem repeats that match those in the database.</p>
</li>
<li>
<p>PCR-based methods: Polymerase chain reaction (PCR) can be used to amplify and detect tandem repeats in genomic DNA. PCR primers are designed to flank the tandem repeat region, and amplification of the target DNA fragment can be visualized on a gel. This method can be useful for detecting novel tandem repeats and for genotyping.</p>
</li>
<li>
<p>Southern blotting: Southern blotting is a classic method for detecting DNA fragments in a sample. It can be used to detect tandem repeats by digesting genomic DNA with a restriction enzyme, separating the fragments by gel electrophoresis, and then probing the blot with a tandem repeat-specific probe.</p>
</li>
</ol><p>Overall, a combination of these methods can be used to comprehensively identify tandem repeats in genomes.</p></div></div></div></div></div></div></div></div></div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/14024/grapher</guid>
	<pubDate>Thu, 14 Aug 2014 14:02:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/14024/grapher</link>
	<title><![CDATA[GrapheR !!!]]></title>
	<description><![CDATA[<p>What a wonderful gem <em>GrapheR</em> is.... Oh yes it is. <em>GrapheR</em> is a GUI for base graphics in R by http://www.maximeherve.com/. The package provides a graphical user interface for creating base charts in R. It is ideal for beginners in R, as the user interface is very clear and the code is written along side into a text file, allowing users to recreate the charts directly in the console. <br /><br />Adding and changing legends? Messing around with the plotting window settings? It is much easier/quicker with this GUI than reading the help file and trying to understand the various parameters.<br />Here is a little example using the iris data set.<br /><br />library(GrapheR)<br />data(iris)<br />run.GrapheR()<br /><br />This will bring up a window that helps me to create the chart and tweak the various parameters.</p><p><img src="http://4.bp.blogspot.com/-NbnCM1dPh3E/U9aW9YxJ9oI/AAAAAAAABgo/gEPzPhOpf2Y/s1600/GrapheR.png" alt="image" width="878" height="868" style="border: 0px; border: 0px;"><br /><br />Finally, I find the underlying R code in a file created by <em>GrapheR</em>. For more details read also the <a href="http://cran.r-project.org/web/packages/GrapheR/index.html" target="_blank">package vignette</a>, which is available in <a href="http://cran.r-project.org/web/packages/GrapheR/vignettes/manual_en.pdf" target="_blank">English</a>, <a href="http://cran.r-project.org/web/packages/GrapheR/vignettes/manual_fr.pdf" target="_blank">French</a> and <a href="http://cran.r-project.org/web/packages/GrapheR/vignettes/manual_de.pdf" target="_blank">German</a>!</p>]]></description>
	<dc:creator>John Parker</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44616/basics-of-blast-programs</guid>
	<pubDate>Fri, 26 Jul 2024 06:04:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44616/basics-of-blast-programs</link>
	<title><![CDATA[Basics of BLAST Programs !]]></title>
	<description><![CDATA[<p>The Basic Local Alignment Search Tool (BLAST) is a powerful bioinformatics program used to compare an input sequence (such as DNA, RNA, or protein sequences) against a database of sequences to find regions of similarity. Developed by the National Center for Biotechnology Information (NCBI), BLAST is widely used for identifying species, finding functional and evolutionary relationships between sequences, and predicting the function of novel sequences.</p><p>Key Features of BLAST:<br />1. Sequence Comparison: BLAST searches for local alignments between the query sequence and sequences in a database. It identifies regions of similarity, which can help infer functional and evolutionary relationships.</p><p>2. Speed and Efficiency: BLAST uses heuristic algorithms, making it faster than exhaustive search methods, suitable for large-scale database searches.</p><p>3. Versatility: There are several versions of BLAST for different types of sequence comparisons:<br /> - blastn: Compares a nucleotide query sequence against a nucleotide sequence database.<br /> - blastp: Compares a protein query sequence against a protein sequence database.<br /> - blastx: Compares a nucleotide query sequence translated in all reading frames against a protein sequence database.<br /> - tblastn: Compares a protein query sequence against a nucleotide sequence database translated in all reading frames.<br /> - tblastx: Compares the six-frame translations of a nucleotide query sequence against the six-frame translations of a nucleotide sequence database.</p><p>4. Scoring and E-value: BLAST results are scored based on the quality and length of the alignments. The E-value (expect value) indicates the number of alignments one can expect to find by chance, with lower E-values representing more significant matches.</p><p>5. Output Formats: BLAST provides results in various formats, including plain text, HTML, XML, and JSON, making it adaptable for different types of analyses and integrations with other tools.</p><p>Applications of BLAST:<br />- Genomic Research: Identifying genes, understanding genetic diversity, and mapping genome sequences.<br />- Protein Function Prediction: Inferring the function of unknown proteins by comparing them to known protein sequences.<br />- Evolutionary Studies: Exploring evolutionary relationships between organisms by comparing their genetic material.<br />- Medical Research: Identifying pathogens, understanding disease mechanisms, and developing treatments by comparing sequences of interest.</p><p>Overall, BLAST is an essential tool in bioinformatics, offering a reliable and efficient way to analyze and interpret biological sequence data.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/14186/pybedtools</guid>
	<pubDate>Wed, 20 Aug 2014 01:03:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/14186/pybedtools</link>
	<title><![CDATA[pybedtools]]></title>
	<description><![CDATA[<p>pybedtools is a Python wrapper for Aaron Quinlan's BEDtools programs (https://github.com/arq5x/bedtools), which are widely used for genomic interval manipulation or "genome algebra". pybedtools extends BEDTools by offering feature-level manipulations from with Python. See full online documentation, including installation instructions, at http://pythonhosted.org/pybedtools/.</p><p>More at http://pythonhosted.org/pybedtools/</p><p>A powerful toolset for genome arithmetic.http://code.google.com/p/bedtools/</p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/38238/list-of-motif-discovery-tools</guid>
	<pubDate>Tue, 20 Nov 2018 03:54:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/38238/list-of-motif-discovery-tools</link>
	<title><![CDATA[List of motif discovery tools !]]></title>
	<description><![CDATA[<div><div>In genetics, a sequence motif is a nucleotide or amino-acid sequence pattern that is widespread and has, or is conjectured to have, a biological significance. For proteins, a sequence motif is distinguished from a structural motif, a motif formed by the three-dimensional arrangement of amino acids which may not be adjacent.</div><div>&nbsp;</div><div>Following are the list of tools for motif discovery:</div><div>&nbsp;</div><div><a href="http://genius.embnet.dkfz-heidelberg.de/menu/biounit/open-husar/">2Dsweep -- protein annotation by secondary structure elements</a></div><p>Perform secondary structure predictions on protein sequences.</p></div><div><div><a href="http://floresta.eead.csic.es/3dfootprint/">3D-footprint -- database of DNA-binding protein structures</a></div><p>Find binding specificity information about DNA-protein complexes.</p></div><div><div><a href="http://floresta.eead.csic.es/3dfootprint/">3D-footprint: DNA-binding protein database</a></div><p>Find information about the binding specificity of DNA-binding proteins.</p></div><div><div><a href="http://3d-partner.life.nctu.edu.tw/">3D-partner -- a web server to infer interacting partners and binding models</a></div><p>Predict interacting partners and binding models.</p></div><div><div><a href="http://motif.stanford.edu/distributions/3motif/">3MOTIF -- a protein structure visualization system for conserved sequence motifs</a></div><p>Use this web-based sequence motif visualization system to display sequence motif information in its appropriate three-dimensional (3D) context.</p></div><div><div><a href="http://bioinfo.mpiz-koeln.mpg.de/afawe/">AFAWE -- Automatic functional annotation in a distributed Web Services Environment</a></div><p>Protein function prediction and annotation in an integrated environment powered by web service.</p></div><div><div><a href="http://anchor.enzim.hu/">ANCHOR -- Prediction of Protein Binding Regions in Disordered Proteins</a></div><p>Find information about protein binding.</p></div><div><div><a href="http://annie.bii.a-star.edu.sg/annie/home.do">ANNIE -- ANNotation and Interpretation Environment for Protein Sequences</a></div><p>Use to predict function from de novo protein sequences.</p></div><div><div><a href="http://bioinformatica.isa.cnr.it/ASC/">Active Sequences Collection (ASC) database -- A new tool to assign functions to protein sequences</a></div><p>Search for short active protein sequences with demonstrated biological activities.</p></div><div><div><a href="http://blocks.fhcrc.org/">Blocks -- Ungapped segments in conserved protein sequences</a></div><p>Search for ungapped segments corresponding to the most highly conserved regions of proteins.</p></div><div><div><a href="http://cast.engr.uic.edu/">CASTp -- computed atlas of surface topography of proteins with structural and topographical mapping of functionally annotated residues</a></div><p>Identify and measure surface accessible pockets as well as interior inaccessible cavities, for proteins and other molecules.</p></div><div><div><a href="http://www.ebi.ac.uk/thornton-srv/databases/CSA">CSA -- The Catalytic Site Atlas</a></div><p>To search for catalytic residue annotation for enzymes in the Protein Data Bank.</p></div><div><div><a href="http://www.sbg.bio.ic.ac.uk/~confunc/">ConFunc -- Conserved residue Protein Function Prediction Server</a></div><p>Predict protein function using Gene Ontology.</p></div><div><div><a href="http://consurf.tau.ac.il/">ConSurf-DB -- evolutionary conservation profiles of protein structures database</a></div><p>Automatically calculate evolutionary conservation scores of key amino acid residues and map them on protein structures.</p></div><div><div><a href="http://salilab.org/DBAli/">DBAli -- A Database of Structure Alignments</a></div><p>Mine the protein structure space.</p></div><div><div><a href="http://dilimot.embl.de/">DILIMOT -- discovery of linear motifs in proteins</a></div><p>Predict short linear motifs (3-8 residues) in a set of protein sequences.</p></div><div><div><a href="http://www.ebi.ac.uk/dasty/">Dasty2 -- an Ajax protein DAS client</a></div><p>A web client for visualizing protein sequence feature information using DAS.</p></div><div><div><a href="http://genius.embnet.dkfz-heidelberg.de/menu/biounit/open-husar/">DomainSweep -- protein annotation by domain analysis</a></div><p>Identify the domain architecture within a protein sequence.</p></div><div><div><a href="http://e1ds.csbb.ntu.edu.tw/">E1DS -- catalytic site prediction based on 1D signatures of concurrent conservation</a></div><p>Predict enzyme catalytic site.</p></div><div><div><a href="http://elm.eu.org/">ELM -- Eukarotic Linear Motif Resource</a></div><p>Predict functional sites in eukaryotic proteins.</p></div><div><div><a href="http://us.expasy.org/tools/#proteome">EXPASY Proteome Tools Collection</a></div><p>Use a collection of tools for protein analyses.</p></div><div><div><a href="http://us.expasy.org/tools/findmod/">EXPASY-Findmod</a></div><p>Predict potential protein post-translational modifications and find potential single amino acid substitutions in peptides.</p></div><div><div><a href="http://mbs.cbrc.jp/EzCatDB/">EzCatDB -- the Enzyme Catalytic-mechanism Database</a></div><p>Search for information related to the catalytic mechanisms of enzymes.</p></div><div><div><a href="http://bioinf.cs.ucl.ac.uk/ffpred/">FFPred -- feature-based function prediction</a></div><p>An integrated feature-based function prediction server for vertebrate proteomes.</p></div><div><div><a href="http://www.ebi.ac.uk/printsscan/">FingerPRINT Scan</a></div><p>Identify the closest matching PRINTS sequence motif fingerprints in a protein sequence.</p></div><div><div><a href="http://firedb.bioinfo.cnio.es/">FireDB -- a database of functionally important residues from proteins of known structure</a></div><p>Search for functional annotation of important sites in proteins with known structures.</p></div><div><div><a href="http://bioserv.rpbs.univ-paris-diderot.fr/cgi-bin/Frog2">Frog2 -- a FRee Online druG 3D conformation generator</a></div><p>Produce 3D conformations of small drug compounds.</p></div><div><div><a href="http://www.hgpd.jp/">HGPD -- Human Gene and Protein Database</a></div><p>A database presenting experiment-based results in human proteomics.</p></div><div><div><a href="http://hhsenser.tuebingen.mpg.de/">HHsenser -- exhaustive transitive profile search using HMMx96HMM comparison</a></div><p>Conduct exhaustive intermediate profile searches of a set of homologous protein sequences.</p></div><div><div><a href="http://loschmidt.chemi.muni.cz/hotspotwizard/">HotSpot Wizard -- Substrate Specificity Hot Spot Identification web server</a></div><p>Design protein mutations in site-directed mutagenesis.</p></div><div><div><a href="http://phylogenomics.berkeley.edu/intrepid/">INTREPID -- INformation-theoretic TREe traversal for Protein functional site IDentification</a></div><p>Use for protein functional site identification.</p></div><div><div><a href="http://www.cbs.dtu.dk/">Integrating protein annotation resources through the Distributed Annotation System</a></div><p>Annotate protein using this integrated annotation resource.</p></div><div><div><a href="http://www.ebi.ac.uk/InterProScan/">InterProScan -- protein domains identifier</a></div><p>Identify protein family (and DNA) domains, patterns, motifs, protein families, and functional sites.</p></div><div><div><a href="http://kfc.mitchell-lab.org/">KFC -- Knowledge-based FADE and Contacts</a></div><p>Interactive forecasting of protein interaction hot spots.</p></div><div><div><a href="http://biominer.bime.ntu.edu.tw/magiicpro/">MAGIIC-PRO -- detecting functional signatures by efficient discovery of long patterns in protein sequences</a></div><p>Discover long patterns in protein sequences.</p></div><div><div><a href="http://prodata.swmed.edu/malisam">MALISAM -- Manual ALIgnments for Structurally Analogous Motifs</a></div><p>Database containing pairs of structural analogs and their alignments.</p></div><div><div><a href="http://meme.nbcr.net/">MEME -- discovering and analyzing DNA and protein sequence motifs</a></div><p>Find sequence patterns in DNA and protein sequences.</p></div><div><div><a href="http://www.nii.res.in/modpropep.html">MODPROPEP -- a program for knowledge-based modeling of protein-peptide complexes</a></div><p>A web server for knowledge-based modeling of protein-peptide complexes, specifically peptides in complex with major histocompatibility complex (MHC) proteins and kinases.</p></div><div><div><a href="http://www.bioinfo.tsinghua.edu.cn/~tigerchen/memo.html">MeMo -- a web tool for prediction of protein methylation modifications</a></div><p>Predict protein methylation sites.</p></div><div><div><a href="http://caps.ncbs.res.in/MegaMotifbase/index.html">MegaMotifBase -- a database of structural motifs in protein families and superfamilies</a></div><p>Find structural segments or motifs for protein structures.</p></div><div><div><a href="http://mnm.engr.uconn.edu/MNM/SMSSearchServlet">Minimotif Miner -- a tool for investigating protein function</a></div><p>Find motifs in a protein sequence.</p></div><div><div><a href="http://umber.sbs.man.ac.uk/dbbrowser/motif3d/motif3d.html">Motif3D -- Relating protein sequence motifs to 3D structure</a></div><p>Visualize protein sequence motifs on the 3D protein structures.</p></div><div><div><a href="http://myhits.isb-sib.ch/cgi-bin/motif_scan">MotifScan</a></div><p>Find presence of any known protein motif (Prosite and Pfam) in a protein sequence.</p></div><div><div><a href="http://bioinfo3d.cs.tau.ac.il/MultiBind">MultiBind -- Multiple Alignment of Protein Binding Sites</a></div><p>Recognize spatial chemical binding patterns common to a set of protein structures.</p></div><div><div><a href="http://mendel.imp.univie.ac.at/myristate/SUPLpredictor.htm">NMT -- The MYR Predictor</a></div><p>Analyze proteins for the presence of N-terminal N-myristoylation site.</p></div><div><div><a href="http://www.cbs.dtu.dk/services/NetNGlyc/">NetNGlyc -- N-Glycosylation sites prediction tool</a></div><p>Find the presence of N-Glycosylation sites in human proteins.</p></div><div><div><a href="http://www.cbs.dtu.dk/services/NetOGlyc/">NetOGly 3.1 -- O-glycosylation sites prediction tool</a></div><p>Find the presence of O-GalNAc (mucin type) glycosylation sites in mammalian proteins.</p></div><div><div><a href="http://www.cbs.dtu.dk/services/NetPhos/">NetPhos 2.0 -- Phosphorylation sites predictions</a></div><p>Analyze eukaryotic proteins for the presence of serine, threonine and tyrosine phosphorylation sites.</p></div><div><div><a href="http://www.cbs.dtu.dk/services/NetPhosK/">NetPhosK 1.0 Server -- kinase specific eukaryotic protein phosphorylation sites prediction tool</a></div><p>Find possible kinase specific phosphorylation sites in eukaryotic proteins.</p></div><div><div><a href="http://networkin.info/search.php">NetworKIN -- a resource for exploring cellular phosphorylation networks</a></div><div>&nbsp;</div></div><div><div><a href="http://neuroproteomics.scs.uiuc.edu/neuropred.html">NeuroPred -- a tool to predict cleavage sites in neuropeptide precursors and provide the masses of the resulting peptides</a></div><p>Predict cleavage sites at basic amino acid locations in neuropeptide precursor sequences.</p></div><div><div><a href="http://www.ebi.ac.uk/patentdata/nr/">Non-Redundant Patent Sequences - Patented Sequence Database</a></div><p>Find information about patented nucleotide and protein sequences.</p></div><div><div><a href="http://www.cbs.dtu.dk/databases/OGLYCBASE/">O-GLYCBASE</a></div><p>Search for information about glycoproteins with O-linked and C-linked glycosylation sites.</p></div><div><div><a href="http://www.pandora.cs.huji.ac.il/">PANDORA -- Protein ANnotation Diagram ORiented Analysis</a></div><p>Find information about protein sequence annotations.</p></div><div><div><a href="http://sunserver.cdfd.org.in:8080/protease/PAR_3D/index.html">PAR-3D -- Protein Active site Residue - 3D structural motif</a></div><p>A server to predict protein active site residues.</p></div><div><div><a href="http://wwwmgs.bionet.nsc.ru/mgs/gnw/pdbsite/">PDBSite -- a database of the 3D structure of protein functional sites</a></div><p>Search for structural and functional information on the protein functional sites.</p></div><div><div><a href="http://wwwmgs.bionet.nsc.ru/mgs/systems/fastprot/pdbsitescan.html">PDBSiteScan -- A program for searching for active, binding and posttranslational modification sites in the 3D structures of proteins</a></div><p>Search 3D protein fragments similar in structure to known active, binding and posttranslational modification sites.</p></div><div><div><a href="http://pedant.gsf.de/">PEDANT -- Protein Extraction, Description and ANalysis Tool</a></div><p>Conduct genome wide functional and structural analysis.</p></div><div><div><a href="http://phosida.org/">PHOSIDA -- Phosphorylation site database</a></div><p>Search for phosphorylation data of any protein of interest.</p></div><div><div><a href="http://www.phosphorylation.biochem.vt.edu/">PHOSPHORYLATION SITE DATABASE</a></div><p>Search for information on prokaryotic proteins that undergo serine, threonine, or tyrosine phosphorylation.</p></div><div><div><a href="http://www.jcvi.org/pn-utility/web/smarty_wrapper/about.php">PNU -- Protein Naming Utility</a></div><p>Determine correct names for proteins.</p></div><div><div><a href="http://mbs.cbrc.jp/poodle/poodle-s.html">POODLE-S -- Predicition Of Order and Disorder by machine LEarning</a></div><p>Web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix.</p></div><div><div><a href="http://gemdock.life.nctu.edu.tw/ppisearch/">PPISearch -- Protein-Protein Interaction Search</a></div><p>Find homologous protein-protein interactions across multiple species.</p></div><div><div><a href="http://www.ebi.ac.uk/ppsearch/">PPSearch</a></div><p>Search your query sequence against PROSITE pattern database for protein motifs.</p></div><div><div><a href="http://pridb.gdcb.iastate.edu/">PRIDB -- Protein-RNA Interface DataBase</a></div><p>Find information about protein-RNA complexes from the Protein Data Bank (PDB).</p></div><div><div><a href="http://umber.sbs.man.ac.uk/dbbrowser/PRINTS/">PRINTS and its automatic supplement, prePRINTS -- A compendium of protein fingerprints</a></div><p>Search for protein fingerprints.</p></div><div><div><a href="http://www.expasy.org/prosite/">PROSITE</a></div><p>Identify protein families and domains for a given protein sequence.</p></div><div><div><a href="http://www.imtech.res.in/raghava/prrdb/">PRRDB -- Pattern Recognition Receptor Database</a></div><p>A comprehensive database of pattern-recognition receptors and their ligands.</p></div><div><div><a href="http://www.arabidopsis.org/cgi-bin/patmatch/nph-patmatch.pl">PatMatch -- a program for finding patterns in peptide and nucleotide sequences</a></div><p>Search for short nucleotide or peptide sequences such as cis-elements in nucleotide sequences or small domains and motifs in protein sequences.</p></div><div><div><a href="http://pepcyber.umn.edu/PPEP/">PepCyber:P~PEP -- a database of human protein protein interactions mediated by phosphoprotein-binding domains</a></div><p>Database specialized in documenting human PPBD-containing proteins and PPBD-mediated interactions.</p></div><div><div><a href="http://us.expasy.org/tools/peptidecutter/">PeptideCutter -- protein cleavage sites prediction tool</a></div><p>Predicts potential protease cleavage sites and sites cleaved by chemicals in a given protein sequence.</p></div><div><div><a href="http://phobius.binf.ku.dk/">Phobius -- A combined transmembrane topology and signal peptide predictor</a></div><p>Predict combined transmembrane topology and signal peptides.</p></div><div><div><a href="http://phospho.elm.eu.org/">Phospho.ELM -- a database of phosphorylation sites</a></div><p>Search for eukaryotic phosphorylation sites.</p></div><div><div><a href="http://www.phospho3d.org/">Phospho3D -- a database of three-dimensional structures of protein phosphorylation sites</a></div><p>Search for 3D structure and functional annotation of phosphorylation sites in proteins.</p></div><div><div><a href="http://www.phosphosite.org/">PhosphoSite -- A bioinformatics resource dedicated to physiological protein phosphorylation.</a></div><p>Search the database of in vivo phosphorylation sites of human and mouse proteins</p></div><div><div><a href="http://pxgrid.med.monash.edu.au/polyq/">PolyQ -- Polyglutamine Database</a></div><p>Find information about polyglutamine (polyQ) repeats.</p></div><div><div><a href="http://www.ebi.ac.uk/pratt/">Pratt Protein motif and pattern discovery</a></div><p>Find the presence of protein motifs and patterns in an amino acid sequence.</p></div><div><div><a href="http://www.predisi.de/">PrediSi -- Prediction of Signal Peptides and their Cleavage Positions</a></div><p>Predict signal peptide sequences and their cleavage positions in bacterial and eukaryotic amino acid sequences.</p></div><div><div><a href="http://www.ebi.ac.uk/thornton-srv/databases/ProFunc/">ProFunc -- a server for predicting protein function from 3D structure</a></div><p>Predict protein functions based on known structures.</p></div><div><div><a href="http://bioinfo41.weizmann.ac.il/promate/promateus.html">ProMateus--an open research approach to protein-binding sites analysis</a></div><p>Predict the location of potential protein-protein binding sites for unbound proteins.</p></div><div><div><a href="http://www.proteus.cs.huji.ac.il/">ProTeus -- identifying signatures in protein termini</a></div><p>Identify short linear signatures in protein termini.</p></div><div><div><a href="http://genius.embnet.dkfz-heidelberg.de/menu/cgi-bin/w2h-open/w2h.open/w2h.startthis?SIMGO=w2h%2ewelcome">ProtSweep -- protein annotation by homology</a></div><p>Analyze and identify newly obtained protein sequences.</p></div><div><div><a href="http://protemot.csbb.ntu.edu.tw/">Protemot -- prediction of protein binding sites with automatically extracted geometrical templates</a></div><p>Predict protein binding sites in a protein sequence based on geometrical analysis of protein tertiary substructures.</p></div><div><div><a href="http://quasimotifinder.tau.ac.il/">QuasiMotiFinder -- protein annotation by searching for evolutionarily conserved motif-like patterns</a></div><p>Search for evolutionarily conserved motif-like patterns in protein sequences.</p></div><div><div><a href="http://bindr.gdcb.iastate.edu/RNABindR">RNABindR -- software for prediction of RNA binding residues in proteins</a></div><p>Web-based server for analyzing and predicting RNA binding sites in proteins.</p></div><div><div><a href="http://caps.ncbs.res.in/scanmot/scanmot.html">SCANMOT -- searching for similar sequences using a simultaneous scan of multiple sequence motifs</a></div><p>Search for similarities between proteins by simultaneous matching of multiple motifs.</p></div><div><div><a href="http://bioinf.fbb.msu.ru/SDPpred/">SDPpred -- A Tool for Prediction of Amino Acid Residues that Determine Differences in Functional Specificity of Homologous Proteins</a></div><p>Predict residues in protein sequences that determine the proteins' functional specificity.</p></div><div><div><a href="http://tamm.mit.edu/SDR/">SDR -- Specificity Determining Residues Database</a></div><p>Predict specificity-determining residues in protein families.</p></div><div><div><a href="http://bioware.ucd.ie/~slimdisc/">SLiMDisc -- Short, Linear Motif Discovery</a></div><p>Find shared motifs in proteins with a common attribute.</p></div><div><div><a href="http://sumosp.biocuckoo.org/">SUMOsp -- a web server for sumoylation site prediction</a></div><p>Conduct in silico sumoylation sites prediction.</p></div><div><div><a href="http://oxytricha.princeton.edu/SWAKK/">SWAKK -- a web server for detecting positive selection in proteins using a sliding window substitution rate analysis</a></div><p>Detect protein sequence section under positive evolution selection.</p></div><div><div><a href="http://www.expasy.org/tools/scanprosite/">ScanProsite</a></div><p>Search for motifs and patterns within protein sequences.</p></div><div><div><a href="http://www.expasy.org/tools/scanprosite/">ScanProsite -- detection of PROSITE signature matches and ProRule-associated functional and structural residues in proteins</a></div><p>Detect patterns, profiles and motifs in a protein sequence.</p></div><div><div><a href="http://scansite.mit.edu/">ScanSite 2.0 -- Proteome-wide prediction of cell signaling interactions using short sequence motifs</a></div><p>Search for motifs within proteins that are likely to be phosphorylated by specific protein kinases or bind to domains such as SH2 domains, 14-3-3 domains or PDZ domains.</p></div><div><div><a href="http://sepresa.bio-x.cn/">SePreSA -- SErver for the PREdiction of populations susceptible to Serious Adverse drug reaction</a></div><p>Find information about populations carrying polymorphisms within protein binding pockets that make them susceptible to serious adverse drug reaction (SADR).</p></div><div><div><a href="http://motif.genome.jp/">Sequence Motif Search</a></div><p>Search the presence of a motif in either amino acid sequence or nucleotide sequence.</p></div><div><div><a href="http://www.csbio.sjtu.edu.cn/bioinf/Signal-3L/">Signal-3L -- A 3-layer approach for predicting signal peptides</a></div><p>Predict signal peptides.</p></div><div><div><a href="http://www.cbs.dtu.dk/services/SignalP/">SignalP -- Machine learning approaches to the prediction of signal peptides, their cleavage sites, and other protein sorting signals</a></div><p>Predict signal peptides and their cleavage sites.</p></div><div><div><a href="http://us.expasy.org/tools/sulfinator/">Sulfinator -- tyrosine sulfation sites prediction tool</a></div><p>Predict the presence of tyrosine sulfation sites in protein sequences</p></div><div><div><a href="http://bioinf-services.charite.de/supersite/">SuperSite -- Ligand Binding Site Database</a></div><p>Look at protein structure from a ligand and binding site perspective.</p></div><div><div><a href="http://www.ch.embnet.org/">Swiss EMBnet node web server</a></div><p>Use a collection of bioinformatics tools at this portal site.</p></div><div><div><a href="http://bioinfo.montp.cnrs.fr/?r=t-reks">T-REKS -- identification of Tandem REpeats in sequences with a K-meanS based algorithm</a></div><p>Find information about tandem repeats in proteins that carry fundamental biological functions and are related to a number of human diseases.</p></div><div><div><a href="http://tmbeta-genome.cbrc.jp/TMFunction/">TMFunction -- The Functional Database of Membrane Proteins</a></div><p>Find information about functional residues in alpha-helical and beta-barrel membrane proteins.</p></div><div><div><a href="http://topdom.enzim.hu/">TOPDOM -- Conservatively Located Domains and Motifs in Transmembrane Proteins</a></div><p>Database of domains and motifs with conservative location in transmembrane proteins.</p></div><div><div><a href="http://motif.stanford.edu/distributions/emotif/">The EMOTIF database</a></div><p>Search for highly conserved and specific protein sequence motifs.</p></div><div><div><a href="http://treedetv2.bioinfo.cnio.es/treedet/index.html">TreeDet -- Predicting Functional Residues in Protein Sequence Alignments</a></div><p>Predict functional sites in protein sequence alignments use different methodologies.</p></div><div><div><a href="http://motif.bmi.ohio-state.edu/ChIPMotifs/">W-ChIPMotifs -- ChIP-based protein Motif discovery web server</a></div><p>Find de novo protein motifs from chromatin immunoprecipitation data.</p></div><div><div><a href="http://feature.stanford.edu/webfeature/">WebFEATURE -- an interactive web tool for identifying and visualizing functional sites on macromolecular structures</a></div><p>Scan query structures for functional sites in both proteins and nucleic acids.</p></div><div><div><a href="http://wwwmgs.bionet.nsc.ru/mgs/programs/panalyst/">WebProAnalyst -- an interactive tool for analysis of quantitative structurex96activity relationships in protein families</a></div><p>Analyze quantitative structure-activity relationship of related protein families.</p></div><div><div><a href="http://motif.stanford.edu/distributions/eblocks/">eBLOCKs -- enumerating conserved protein blocks to achieve maximal sensitivity and specificity</a></div><p>Search for ungapped alignments of highly conserved regions among a protein family or superfamily.</p></div><div><div><a href="http://ef-site.hgc.jp/eF-seek/">eF-seek -- prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape</a></div><p>Predict the functional sites of proteins.</p></div><div><div><a href="http://firedb.bioinfo.cnio.es/Php/FireStar.php">firestar -- prediction of functionally important residues using structural templates and alignment reliability</a></div><p>An expert system for predicting ligand-binding residues in protein structures.</p></div><div><div><a href="http://caps.ncbs.res.in/imotdb/">iMOTdb -- a comprehensive collection of spatially interacting motifs in proteins</a></div><p>Automatically identify spatially interacting motifs among distantly related proteins sharing similar folds and possessing common ancestral lineage.</p></div>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/14756/roderic-guigo-lab</guid>
  <pubDate>Mon, 01 Sep 2014 17:13:00 -0500</pubDate>
  <link></link>
  <title><![CDATA[Roderic Guigó Lab]]></title>
  <description><![CDATA[
<p>Research in our group focuses on the investigation of the signals involved in gene specification in genomic sequences (promoter elements, splice sites, translation initiation sites, etc…). We are interested both in the mechanism of their recognition and processing, and in their evolution. In addition, but related to this basic component of our research, our group is also involved in the development of software for gene prediction and annotation in genomic sequences. Our group also actively participates in the analysis of many eukaryotic genomes and it in involved in the NIH-funded ENCODE project. Furthermore we are members of two large cancer-studies consortia (chronic lymphocytic leukemia "CLL" and Breast Cancer -Hospital del Mar/CRG/Roche-).  <br /> <br />More at http://big.crg.cat/computational_biology_of_rna_processing</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4288/new-born-babies-get-ready-to-know-their-whole-genome-soon</guid>
	<pubDate>Thu, 05 Sep 2013 07:24:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4288/new-born-babies-get-ready-to-know-their-whole-genome-soon</link>
	<title><![CDATA[New born babies get ready to know their whole genome soon!!!]]></title>
	<description><![CDATA[<p>USA launch a pilot projects to examine medical information of newborn baby, which are being funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and the National Human Genome Research Institute (NHGRI), both parts of the National Institutes of Health.</p><p>Awards of $5 million to four grantees have been made in fiscal year 2013 under the Genomic Sequencing and Newborn Screening Disorders research program. The program will be funded at $25 million over five years, as funds are made available.</p><p>"Hundreds of US babies will be pioneers in genomic medicine through a&nbsp;US$25-million programme to sequence their genomes&nbsp;soon after they are born."</p><p><strong>Source</strong>:</p><p><a href="http://blogs.nature.com/news/2013/09/scientists-to-sequence-hundreds-of-newborns-genomes.html">http://blogs.nature.com/news/2013/09/scientists-to-sequence-hundreds-of-newborns-genomes.html</a></p><p><a href="http://www.genome.gov/27554919">http://www.genome.gov/27554919</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/14904/bioinformatics-jrfsrf-position-at-iari</guid>
  <pubDate>Thu, 04 Sep 2014 04:14:01 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics JRF/SRF position at IARI]]></title>
  <description><![CDATA[
<p>DIVISION OF NEMATOLOGY<br />INDIAN AGRICULTURAL RESEARCH INSTITUTE<br />NEW DELHI 110012<br />Applications are invited for the posts of one Junior<br />Research Fellow and one RA in the DBT funded project entitled “ Plant parasitic nematode genome informatics - insilico resource development”. The project is for a period of three years. </p>

<p>Essential qualifications for JRF<br />: M. Sc. in Bioinformatics with experience in Proteomics, genomics and structural biology. Knowledge of programming language, pearl and database – HTML, CSS,php and Java script.<br />Essential qualifications for Research Associate:<br />MSc/MTech in Bioinformatics with three years experience or Ph.D in Bioinformatics with experience in proteomics, genomics and structural biology. Knowledge of programming language, perl and database<br />– HTML, CSS, Java script. NGS sequence assembly and analysis and algorithm designing.<br />Age limit : 35 years maximum (5 year relaxation for SC/ST and women candidates)<br />Emoluments:<br />JRF: 16,000 + 30% HRA<br />.<br />Res Assoc: Rs22,000 + 30% HRA<br />The post is purely temporary in nature and is co-terminus with the project. The appointment would be initially for one year and may be extended further upon satisfactory performance.<br />Interested candidates<br />should send the duly filled application forms (format in the following page ) so as to reach on or before 20.9.2014 along with all the relevant documents.</p>

<p>More at http://www.iari.res.in/files/JRF_RA-03092014-20140903-135319.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34443/opera-an-optimal-genome-scaffolding-program</guid>
	<pubDate>Mon, 27 Nov 2017 10:18:20 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34443/opera-an-optimal-genome-scaffolding-program</link>
	<title><![CDATA[Opera: An optimal genome scaffolding program]]></title>
	<description><![CDATA[<p><span>Opera (Optimal Paired-End Read Assembler) is a sequence assembly program (</span><a href="http://en.wikipedia.org/wiki/Sequence_assembly" target="_blank">http://en.wikipedia.org/wiki/Sequence_assembly&nbsp;<img src="https://a.fsdn.com/con/img/icons/external_asset.png" alt="image" style="border: 0px;"></a><span>). It uses information from paired-end or long reads to optimally order and orient contigs assembled from shotgun-sequencing reads.</span><br><br><span>An updated version called OPERA-LG has been re-engineered with features for the assembly of large and complex genomes.</span><br><br><span>Song Gao, Denis Bertrand, Burton K. H. Chia and Niranjan Nagarajan. OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees. Genome Biology, May 2016, doi: 10.1186/s13059-016-0951-y.</span><br><br><span>Song Gao, Wing-Kin Sung, Niranjan Nagarajan. Opera: reconstructing optimal genomic scaffolds with high-throughput paired-end sequences. Journal of Computational Biology, Sept. 2011, doi:10.1089/cmb.2011.0170.</span></p>
<p><span>https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0951-y</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/operasf/" rel="nofollow">https://sourceforge.net/projects/operasf/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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