{"id":22,"date":"2015-06-15T11:01:33","date_gmt":"2015-06-15T09:01:33","guid":{"rendered":"http:\/\/members.loria.fr\/thierrygartiser\/?page_id=22"},"modified":"2019-05-08T13:23:52","modified_gmt":"2019-05-08T11:23:52","slug":"software","status":"publish","type":"page","link":"https:\/\/members.loria.fr\/SAridhi\/software\/","title":{"rendered":"Software"},"content":{"rendered":"<h4><strong>GrAPFI<\/strong><\/h4>\n<p>GrAPFI (<strong>Gr<\/strong>aph-based tool for <strong>A<\/strong>utomatic <strong>P<\/strong>rotein <strong>F<\/strong>unction <strong>I<\/strong>nference) is a novel network-based approach for the automatic functional annotation of protein sequences.<\/p>\n<p>Please refer to the <a href=\"https:\/\/doi.org\/10.1007\/978-3-030-05414-4_48\" target=\"_blank\" rel=\"noopener\">paper<\/a> to find all the information about GrAPFI.<\/p>\n<ul>\n<li><strong><em><a href=\"https:\/\/gitlab.inria.fr\/bsarker\/GrAPFI\">GrAPFI source code<\/a><\/em><\/strong><\/li>\n<li><em><strong>GrAPFI web server:<\/strong><\/em> <a href=\"http:\/\/grapfi.loria.fr\" target=\"_blank\" rel=\"noopener\">GrAPFI<\/a><\/li>\n<\/ul>\n<h4><strong>BLADYG<\/strong><\/h4>\n<p>BLADYG (<strong>B<\/strong>lock-Centric Framework for the Analysis of <strong>LA<\/strong>rge <strong>DY<\/strong>namic <strong>G<\/strong>raphs) is a Block-centric framework for the analysis of large and dynamic graphs. It is built on top of Akka framework.<\/p>\n<p>Please refer to the <a href=\"https:\/\/doi.org\/10.1016\/j.bdr.2017.05.003\" target=\"_blank\" rel=\"noopener\">paper<\/a> to find all the information about BLADYG.<\/p>\n<ul>\n<li><em><strong>Source:<\/strong><\/em> <a href=\"http:\/\/bladyg.loria.fr\/\" target=\"_blank\" rel=\"noopener\">BLADYG<\/a><\/li>\n<\/ul>\n<h4><strong>MR-SimLab<\/strong><\/h4>\n<p>MR-SimLab is a distributed method for representative subgraph selection based on MapReduce.<\/p>\n<p>Please refer to the <a href=\"https:\/\/doi.org\/10.1016\/j.is.2017.05.006\" target=\"_blank\" rel=\"noopener\">paper<\/a> to find all the information about MR-SimLab.<\/p>\n<ul>\n<li><em><strong>Source:<\/strong><\/em> <a href=\"https:\/\/sabeuraridhi@bitbucket.org\/sabeuraridhi\/mr-simlab.git\" target=\"_blank\" rel=\"noopener\">MR-SimLab<\/a><\/li>\n<\/ul>\n<h4><strong>MRGRAM<\/strong><\/h4>\n<p>MRGRAM (<strong>M<\/strong>ap<strong>R<\/strong>educe <strong>GRA<\/strong>ph <strong>M<\/strong>ining ) is a MapReduce-based framework for distributed frequent subgraph mining. MRGRAM is built on top of Hadoop and it provides a data partitioning technique that considers data characteristics. It uses the densities of graphs in order to partition the input data.<\/p>\n<p>Please refer to the <a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S030643791300121X\" target=\"_blank\" rel=\"noopener\">paper<\/a> to find all the information about MRGRAM.<\/p>\n<ul>\n<li><em><strong>Source:<\/strong><\/em> <a href=\"https:\/\/members.loria.fr\/SAridhi\/files\/software\/DistFSM\/\" target=\"_blank\" rel=\"noopener\">MRGRAM<\/a><\/li>\n<\/ul>\n<h4><strong>ORHadoop<\/strong><\/h4>\n<p>ORHadoop is a distributed framework for shortest path resolution in large-scale networks.<\/p>\n<p>Please refer to the <a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S095219761500038X\" target=\"_blank\" rel=\"noopener\">paper<\/a> to find all the information about algorithms.<\/p>\n<ul>\n<li><em><strong>Source:<\/strong><\/em> <a href=\"http:\/\/www.isima.fr\/~lacomme\/OR_hadoop\/\" target=\"_blank\" rel=\"noopener\">ORHadoop<\/a><\/li>\n<\/ul>\n<h4><strong>MIL-ALIGN<\/strong><\/h4>\n<p>MIL-ALIGN is used to predict bacterial ionizing radiation resistance using a multiple-instance learning model. It runs on a Windows or a UNIX platform that contains a Java Runtime Environment (JRE).<\/p>\n<p>Please refer to the <a href=\"http:\/\/online.liebertpub.com\/doi\/10.1089\/cmb.2015.0134\" target=\"_blank\" rel=\"noopener\">paper<\/a> to find all the information about MIL-ALIGN.<\/p>\n<ul>\n<li><em><strong>Source:<\/strong><\/em> <a href=\"https:\/\/members.loria.fr\/SAridhi\/files\/software\/MIL\/\" target=\"_blank\" rel=\"noopener\">MIL-ALIGN<\/a><\/li>\n<\/ul>\n<h4><strong>PREFON-META<\/strong><\/h4>\n<p>PREFON_META is used to predict functional domains of metagenomics data.<\/p>\n<ul>\n<li><em><strong>Source:<\/strong><\/em> <a href=\"http:\/\/com.isima.fr\/PREFON_META\" target=\"_blank\" rel=\"noopener\">PREFON_META<\/a><\/li>\n<\/ul>\n<hr \/>\n<h4><strong>TUTORIALS<\/strong><\/h4>\n<ul>\n<li><a href=\"https:\/\/members.loria.fr\/SAridhi\/files\/software\/HBaseTutorial\/\" target=\"_blank\" rel=\"noopener\">How to install and configure HBase<\/a>?<\/li>\n<li><a href=\"https:\/\/members.loria.fr\/SAridhi\/files\/software\/BigDataTutorials\/\" target=\"_blank\" rel=\"noopener\">How to install and configure Hadoop, Spark and ElasticSearch<\/a>?<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>GrAPFI<\/p>\n<p>GrAPFI (Graph-based tool for Automatic Protein Function Inference) is a novel network-based approach for the automatic functional annotation of protein sequences.<\/p>\n<p>Please refer to the <a href=\"https:\/\/doi.org\/10.1007\/978-3-030-05414-4_48\" target=\"_blank\" rel=\"noopener\">paper<\/a> to find all the information about GrAPFI.<\/p>\n<ul>\n<li><em><a href=\"https:\/\/gitlab.inria.fr\/bsarker\/GrAPFI\">GrAPFI source code<\/a><\/em><\/li>\n<li><em>GrAPFI web server:<\/em> <a href=\"http:\/\/grapfi.loria.fr\" target=\"_blank\" rel=\"noopener\">GrAPFI<\/a><\/li>\n<\/ul>\n<p>BLADYG<\/p>\n<p>BLADYG (Block-Centric Framework for the Analysis of LArge DYnamic Graphs) is a Block-centric framework for the analysis of large and dynamic graphs. It is built on top of Akka framework.<\/p>\n<p>Please refer to the <a href=\"https:\/\/doi.org\/10.1016\/j.bdr.2017.05.003\" target=\"_blank\" rel=\"noopener\">paper<\/a> to find all the information about BLADYG.<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-22","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/members.loria.fr\/SAridhi\/wp-json\/wp\/v2\/pages\/22","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/members.loria.fr\/SAridhi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/members.loria.fr\/SAridhi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/members.loria.fr\/SAridhi\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/members.loria.fr\/SAridhi\/wp-json\/wp\/v2\/comments?post=22"}],"version-history":[{"count":21,"href":"https:\/\/members.loria.fr\/SAridhi\/wp-json\/wp\/v2\/pages\/22\/revisions"}],"predecessor-version":[{"id":927,"href":"https:\/\/members.loria.fr\/SAridhi\/wp-json\/wp\/v2\/pages\/22\/revisions\/927"}],"wp:attachment":[{"href":"https:\/\/members.loria.fr\/SAridhi\/wp-json\/wp\/v2\/media?parent=22"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}