Exploiting single-molecule transcript sequencing for eukaryotic gene prediction.

Article added to library!

PubChase

'); var ntfc_preview = ''; $.post('/api/v1/get_notifications', function(r) { var ntfc_read_pending = 0; var ntfc_pending = 0; $.each(r.notifications.pending, function(index, ntfc_object) { ntfc_read_pending++; ntfc_pending++; if (ntfc_read_pending

' + ntfc_object.full_name +'' + ntfc_object.time + '

' + ntfc_object.description +'

'; }) if (ntfc_read_pending

' + ntfc_object.full_name +'' + ntfc_object.time + '

' + ntfc_object.description +'

'; }) $('.notification-block .dropdown-menu').html(ntfc_preview); $('.notification-block .dropdown-menu').append('

'); if (ntfc_pending > 0) { $('.notification-count').text(ntfc_pending).show(); } else { $('.notification-count').hide(); } } else { $('.notification-block .dropdown-menu').html(ntfc_preview); $('.notification-block .dropdown-menu').append('

'); if (ntfc_pending > 0) { $('.notification-count').text(ntfc_pending).show(); } else { $('.notification-count').hide(); } } if (ntfc_read_pending == 0) { $('.notification-block .dropdown-menu').html('

You don\'t have any notifications

'); $('.notification-count').hide(); } data = {'nid' : '', 'ntid' : 1}; $.post('/api/v1/notification_action', data, function(r) { if (r.request == 'OK') { $('.notification-count').hide(); } }); }, "json"); }); $('.search-save-box').on({ click : function(e) { e.preventDefault(); var search_attr = $(this).attr('rel').split(','); var p = search_attr[1]; var tf = search_attr[0]; window.location = '/search?tf='+tf+'&jc='+jc+'&keywords='+$(this).html()+'&s='+$('#sort_order').val()+'&p='+p; } }, '.search-name'); $( "#keywords_main, #keywords_mobile" ).focus(function(e) { show_saved_searches(e, $(this)); }); $(window).resize(function () { if ($('.search-save-box').is(':visible')) { if ($('#keywords_main').is(':visible')) var left_search_save = $('#keywords_main').offset().left; if ($('#keywords_mobile').is(':visible')) var left_search_save = $('#keywords_mobile').offset().left; $('.search-save-box').css('left',left_search_save); } }); $('.search-save-box').on({ click : function(e) { e.preventDefault(); delete_saved_search($(this)); } }, '.search-name-close'); $('.search-save-box, #keywords_main, #keywords_mobile').click(function(e) { e.stopPropagation(); }); $(document).click(function(e) { $('.search-save-box').hide(); }); $( "#keywords_main, #keywords_mobile" ).autocomplete({ source: function( request, response ) { // data contains the JSON object textStatus contains the status: success, error, etc $.post('/api/v1/searches', {'key' : request.term}, function(data, textStatus) { response(data); }, "json") }, select: function (event, ui) { var reportname = ui.item.value; var thelinks = '/search?tf='+$('#time_frame').val()+'&jc='+jc+'&keywords='+reportname+'&s='+$('#sort_order').val()+'&p='+$('#people_cluster').val(); } }); $('.search-go').click(function(e) { e.preventDefault(); window.location = get_search_url(); }); $('.logout').click(function(e) { e.preventDefault(); }); $('.header_keywords, .home_page_keywords').on('keydown', function(e) { if (e.keyCode == 13) { window.location = get_search_url(); } $('.search-save-box').hide(); }); $('.seemore').click(function(e){ e.stopImmediatePropagation(); }); });

Add to Library

Exploiting single-molecule transcript sequencing for eukaryotic gene prediction.

Sep 02, 2015
Genome Biology

Minoche AE, Dohm JC, Schneider J, Holtgräwe D, Viehöver P, Montfort M, Sörensen TR, Weisshaar B, Himmelbauer H

We develop a method to predict and validate gene models using PacBio single-molecule, real-time (SMRT) cDNA reads. Ninety-eight percent of full-insert SMRT reads span complete open reading frames. Gene model validation using SMRT reads is developed as automated process. Optimized training and prediction settings and mRNA-seq noise reduction of assisting Illumina reads results in increased gene prediction sensitivity and precision. Additionally, we present an improved gene set for sugar beet (Beta vulgaris) and the first genome-wide gene set for spinach (Spinacia oleracea). The workflow and guidelines are a valuable resource to obtain comprehensive gene sets for newly sequenced genomes of non-model eukaryotes.

Add Public PDF

Upload my PDF

Downloading PDF to your library...

ADD A TAG 64 chars max

Make private

APPLIED TAGS

Uploading PDF...

PDF uploading

Delete tag:

The link you entered does not seem to be valid

Please make sure the link points to nature.com contains a valid shared_access_token