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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/45244?offset=60</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41602/nucdiff-in-depth-characterization-and-annotation-of-differences-between-two-sets-of-dna-sequences</guid>
	<pubDate>Tue, 05 May 2020 10:35:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41602/nucdiff-in-depth-characterization-and-annotation-of-differences-between-two-sets-of-dna-sequences</link>
	<title><![CDATA[NucDiff: In-depth characterization and annotation of differences between two sets of DNA sequences]]></title>
	<description><![CDATA[<p>NucDiff locates and categorizes differences between two closely related nucleotide sequences. It is able to deal with very fragmented genomes, structural rearrangements and various local differences. These features make NucDiff to be perfectly suitable to compare assemblies with each other or with available reference genomes.</p>
<p>NucDiff provides information about the types of differences and their locations. It is possible to upload the results into genome browser for visualization and further inspection. It was written in Python and uses the NUCmer package from MUMmer[1] for sequence comparison.</p>
<p><br><br></p><p>Address of the bookmark: <a href="https://github.com/uio-cels/NucDiff" rel="nofollow">https://github.com/uio-cels/NucDiff</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43268/kmer-a-suite-of-tools-for-dna-sequence-analysis</guid>
	<pubDate>Wed, 18 Aug 2021 00:02:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43268/kmer-a-suite-of-tools-for-dna-sequence-analysis</link>
	<title><![CDATA[Kmer: a suite of tools for DNA sequence analysis]]></title>
	<description><![CDATA[<p>More at&nbsp;https://help.rc.ufl.edu/doc/Kmer</p>
<p>This also includes:</p>
<ul>
<li>A2Amapper: ATAC, Assembly to Assembly Comparision tool:
<ul>
<li>Comparative mapping between two genome assemblies (same species), or between two different genomes (cross species).</li>
</ul>
</li>
</ul>
<ul>
<li>Sim4db:
<ul>
<li>Spliced alignment of cDNA and genomic sequences, from the same (sim4) or related (sim4cc) species. Optimized for high-throughput batched alignment.</li>
</ul>
</li>
</ul>
<ul>
<li>LEAFF:
<ul>
<li>LEAFF (ahem, Let's Extract Anything From Fasta) is a utility program for working with multi-fasta files. In addition to providing random access to the base level, it includes several analysis functions.</li>
</ul>
</li>
</ul>
<ul>
<li>Meryl:
<ul>
<li>An out-of-core k-mer counter. The amount of sequence that can be processed for any size k depends only on the amount of free disk space.</li>
</ul>
</li>
</ul><p>Address of the bookmark: <a href="https://help.rc.ufl.edu/doc/Kmer" rel="nofollow">https://help.rc.ufl.edu/doc/Kmer</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44559/metagraph-ultra-scalable-framework-for-dna-search-alignment-assembly</guid>
	<pubDate>Sat, 08 Jun 2024 16:15:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44559/metagraph-ultra-scalable-framework-for-dna-search-alignment-assembly</link>
	<title><![CDATA[MetaGraph: Ultra Scalable Framework for DNA Search, Alignment, Assembly]]></title>
	<description><![CDATA[<p><span>The MetaGraph framework</span><span>&nbsp;is designed to work with a wide range of input data sets, indexing from a few samples up to the contents of entire archives with hundreds of thousands of records. The indexing workflow always follows the same principle, transforming single input samples into error-removed, refined sample graphs, which are then merged into a joint metagraph index. Each input sample is annotated in the joint index as a subgraph. This graph index enriched with metadata can then be used for downstream applications such as&nbsp;</span><a href="https://metagraph.ethz.ch/#query">sequence search</a><span>&nbsp;or&nbsp;</span><a href="https://metagraph.ethz.ch/#assembly">differential assembly</a><span>.</span></p>
<p><span>Searcg link&nbsp;https://metagraph.ethz.ch/search&nbsp;</span></p>
<p><span>Pre-print&nbsp;https://www.biorxiv.org/content/10.1101/2020.10.01.322164v4&nbsp;</span></p><p>Address of the bookmark: <a href="https://metagraph.ethz.ch/" rel="nofollow">https://metagraph.ethz.ch/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<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/914/welch-lab</guid>
  <pubDate>Mon, 15 Jul 2013 18:21:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Welch Lab]]></title>
  <description><![CDATA[
<p>They are based in the Department of Genetics at the University of Cambridge. </p>

<p>The research covers diverse areas of evolutionary biology, and molecular evolution in particular. It combines theoretical and empirical approaches, and particularly evolutionary inference from genome sequence data.</p>

<p>Links @ http://www.gen.cam.ac.uk/research/welch/GroupPage/Home.html</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4959/evolution-and-cancer</guid>
	<pubDate>Fri, 27 Sep 2013 11:28:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4959/evolution-and-cancer</link>
	<title><![CDATA[Evolution and Cancer]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/j3uKOcNwYBw" frameborder="0" allowfullscreen></iframe>Air date:  Wednesday, January 04, 2012, 3:00:00 PM
Time displayed is Eastern Time, Washington DC Local  
 
Category:  Wednesday Afternoon Lectures  
Description:  There is a broad consensus that cancer is the result of somatic cells having serially gained, by a series of mutations, the ability to grow independently, to recruit resources from the circulation and the stroma, to invade local tissues, and to found anatomically distant metastases, ultimately killing the host. From the point of view of the cancer-causing somatic cell population, this is evolution driven by mutation and selection. Genomics has resulted in a parallel consensus that the central functions of all eukaryotes are highly conserved, not only at the level of individual protein functions, but also complex biological pathways and systems. These ideas motivated a comparison between results of molecular genetic studies of experimental evolution in yeast and the molecular genetic phenomena associated with tumorigenesis and tumor progression. We find some very striking similarities, including recurring genomic rearrangements, alterations of the regulation of specific growth-promoting genes, population-genetic features that affect the fitness trajectories of growth rate variants in evolving populations, and physiological and metabolic similarities derived from the conservation of the basic plan of growth and cell multiplication among all eukaryotes. It is hoped that some of the insights from yeast will aid the interpretation of sequence changes found in tumors, especially in the urgent necessity to distinguish 'driver' from 'passenger' mutations." 

David Botstein's fundamental contributions to modern genetics include the development of genetic methods for understanding biological functions and the discovery of the functions of many yeast and bacterial genes. In 1980, Botstein and three colleagues proposed a method for mapping human genes that laid the groundwork for the Human Genome Project. The basic principle of the mapping scheme was to develop, by recombinant DNA techniques, random single-copy DNA probes capable of detecting DNA sequence polymorphisms when hybridized to restriction digests, or specific fragments, of an individual's DNA. The method was used in subsequent years to identify several human disease genes, such as Huntington's and BRCA1. Variations of this method enabled the sequencing phase of the Human Genome Project. 

In the 1990s Botstein, having moved to Stanford University School of Medicine, collaborated with Patrick O. Brown of Stanford in exploiting DNA microarrays to study genome-wide gene expression patterns in yeast and in human cancers. This required developing a new statistical method and graphical interface, widely used today to interpret genomic data. Botstein also has helped to create, with Michael Ashburner and Gerald Rubin, a bioinformatics initiative to unify the representation of gene and gene product attributes across all species, called Gene Ontology. He graduated from Harvard College and earned his doctorate from the University of Michigan. He worked at Massachusetts Institute of Technology from 1967 to 1988; served as vice president for science at Genentech from 1988 to 1990; chaired the Department of Genetics at the Stanford University School of Medicine from 1990 to 2003; and joined the Princeton University faculty in 2003. He has sat on numerous editorial boards and was the founding editor of Molecular Biology of the Cell. Among recent major awards, Bostein won the Peter Gruber Foundation Prize in Genetics in 2003, the Apple Science Innovator Award in 2008, and the Albany Medical Center Prize in 2010. 

The NIH Wednesday Afternoon Lecture Series includes weekly scientific talks by some of the top researchers in the biomedical sciences worldwide. 

For more information, visit: The NIH Director's Wednesday Afternoon Lecture Series  
Author:  Dr. David Botstein, Princeton University  
Runtime:  00:59:58  

Permanent link:  http://videocast.nih.gov/launch.asp?17046]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/5310/bergman-lab</guid>
  <pubDate>Thu, 03 Oct 2013 17:20:09 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bergman Lab]]></title>
  <description><![CDATA[
<p>Broad area of research:</p>

<p>Genome Annotation and Functional Genomics</p>

<p>Bergman Lab is actively engaged in the development and application of computational methods to improve the annotation of functional biological features in genome sequences.  Bergman Lab work focuses on improving annotation of non-protein-coding regions of the genome including conserved noncoding sequences (CNSs), cis-regulatory modules (CRMs), transcription factor binding sites (TFBSs), transposable elements (TEs) and noncoding RNA (ncRNA) genes. Current projects include improving the (i) annotation of TEs in the fly and yeast genomes, (ii) annotation of CRMs and TFBSs in the fly genome, and (iii) analysis of transposon knockout collections in flies. Research in this area is supported by the EC FP7 programme.</p>

<p>Genome and Molecular Evolution<br />Text and Data Mining</p>

<p>More @ http://bergmanlab.smith.man.ac.uk/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/10749/memories-can-be-passed-down-through-dna</guid>
	<pubDate>Sat, 10 May 2014 21:24:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/10749/memories-can-be-passed-down-through-dna</link>
	<title><![CDATA[Memories Can Be Passed Down Through DNA]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/tbPwzII_g6o" frameborder="0" allowfullscreen></iframe>The premise of Assassin's Creed is the reliving of other people's memories stored inside DNA. Well scientists have found that in mice, it actually happens! Anthony is joined by special guest and our friend Tara Long from Hard Science to explain how this process works, and if it might apply to humans as well.

Read More: 
Parental olfactory experience influences behavior and neural structure in subsequent generations
http://www.nature.com/neuro/journal/vaop/ncurrent/abs/nn.3594.html
"Using olfactory molecular specificity, we examined the inheritance of parental traumatic exposure, a phenomenon that has been frequently observed, but not understood."

What Is Epigenetics?
http://www.sciencemag.org/content/330/6004/611
"The cells in a multicellular organism have nominally identical DNA sequences (and therefore the same genetic instruction sets), yet maintain different terminal phenotypes. This nongenetic cellular memory, which records developmental and environmental cues (and alternative cell states in unicellular organisms), is the basis of epi-(above)-genetics."

Epigenetics
http://en.wikipedia.org/wiki/Epigenetics

Watch More:
How to Change Your Genes
https://www.youtube.com/watch?v=B5DU9lgbsSE
TestTube Wild Card
http://testtube.com/dnews/dnews-231-how-too-many-screens-affect-our-brain?utm_source=YT&utm_medium=DNews&utm_campaign=DNWC
Is Sexiness Hereditary?
https://www.youtube.com/watch?v=z6STRCncvM8
____________________

DNews is dedicated to satisfying your curiosity and to bringing you mind-bending stories & perspectives you won't find anywhere else! New videos twice daily. 

Watch More DNews on TestTube http://testtube.com/dnews

Subscribe now! http://www.youtube.com/subscription_center?add_user=dnewschannel

DNews on Twitter http://twitter.com/dnews

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Laci Green on Twitter http://twitter.com/gogreen18

Trace Dominguez on Twitter http://twitter.com/trace501

DNews on Facebook http://facebook.com/dnews

DNews on Google+ http://gplus.to/dnews

Discovery News http://discoverynews.com]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/12995/national-center-for-bioinformatics-ncb</guid>
  <pubDate>Wed, 23 Jul 2014 14:10:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[National Center for Bioinformatics (NCB)]]></title>
  <description><![CDATA[
<p>NCB is offering M.Phil and Ph.D programs in the area of Bioinformatics. The major goal of NCB is to promote quality training and research in the area of Bioinformatics. Bioinformatics originated as a cross-disciplinary field as the need for computational sections to research problem raised in biomedicine. </p>

<p>More at http://ncb.qau.edu.pk/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/20504/chromevol</guid>
	<pubDate>Sun, 25 Jan 2015 00:33:11 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/20504/chromevol</link>
	<title><![CDATA[ChromEvol]]></title>
	<description><![CDATA[<p>Chromosome number is a remarkably dynamic feature of eukaryotic evolution. Chromosome numbers can change by a duplication of the whole genome (a process termed polyploidy), or by single chromosome changes (ascending dysploidy via, e.g., chromosome fission or descending dysploidy via, e.g., chromosome fusion).<br> Of the various mechanisms of chromosome number change, polyploidy has received significant attention because of the impact such an event may have on the organism.<br> ChromEvol implements a series of likelihood models for the evolution of chromosome numbers. By comparing the fit of the different models to biological data, it may be possible to gain insight regarding the pathways by which the evolution of chromosome number proceeds. For each model, the program estimates the rates for the possible transitions assumed by the model, infers the set of ancestral chromosome numbers, and estimates the location along the tree for which polyploidy events (and other chromosome number changes) occurred. For further methodological details, see the publications and manual on the Downloads page.</p>
<p>http://www.tau.ac.il/~itaymay/cp/chromEvol/about.html</p><p>Address of the bookmark: <a href="http://www.tau.ac.il/~itaymay/cp/chromEvol/downloads.html" rel="nofollow">http://www.tau.ac.il/~itaymay/cp/chromEvol/downloads.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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