{"id":619,"date":"2024-05-20T18:24:42","date_gmt":"2024-05-20T18:24:42","guid":{"rendered":"https:\/\/geiselmed.dartmouth.edu\/gsr\/?page_id=619"},"modified":"2026-04-28T14:46:43","modified_gmt":"2026-04-28T14:46:43","slug":"rna-seq","status":"publish","type":"page","link":"https:\/\/geiselmed.dartmouth.edu\/gsr\/rna-seq\/","title":{"rendered":"RNA-seq"},"content":{"rendered":"<table style=\"border-collapse: separate;border-spacing: 6px 6px;margin: 0 0 20px -6px\">\n<tbody>\n<tr>\n<td style=\"padding: 7px 14px;border-radius: 999px;background: #f5f5f5;border: 1px solid #ddd;font-size: 13px;text-align: center;white-space: nowrap\"><a href=\"https:\/\/geiselmed.dartmouth.edu\/gsr\/nucleicacidextraction\/\" style=\"color: #555;text-decoration: none\">Extraction<\/a><\/td>\n<td style=\"padding: 7px 14px;border-radius: 999px;background: #f5f5f5;border: 1px solid #ddd;font-size: 13px;text-align: center;white-space: nowrap\"><a href=\"https:\/\/geiselmed.dartmouth.edu\/gsr\/nucleic-acid-qc\/\" style=\"color: #555;text-decoration: none\">Nucleic Acid QC<\/a><\/td>\n<td style=\"padding: 7px 14px;border-radius: 999px;background: #00693e;color: #fff;font-size: 13px;font-weight: 500;text-align: center;white-space: nowrap\">RNA-seq<\/td>\n<td style=\"padding: 7px 14px;border-radius: 999px;background: #f5f5f5;border: 1px solid #ddd;font-size: 13px;text-align: center;white-space: nowrap\"><a href=\"https:\/\/geiselmed.dartmouth.edu\/gsr\/dna-seq\/\" style=\"color: #555;text-decoration: none\">DNA-seq<\/a><\/td>\n<td style=\"padding: 7px 14px;border-radius: 999px;background: #f5f5f5;border: 1px solid #ddd;font-size: 13px;text-align: center;white-space: nowrap\"><a href=\"https:\/\/geiselmed.dartmouth.edu\/gsr\/single-cell-genomics\/\" style=\"color: #555;text-decoration: none\">Single Cell<\/a><\/td>\n<td style=\"padding: 7px 14px;border-radius: 999px;background: #f5f5f5;border: 1px solid #ddd;font-size: 13px;text-align: center;white-space: nowrap\"><a href=\"https:\/\/geiselmed.dartmouth.edu\/gsr\/spatial-genomics\/\" style=\"color: #555;text-decoration: none\">Spatial<\/a><\/td>\n<td style=\"padding: 7px 14px;border-radius: 999px;background: #f5f5f5;border: 1px solid #ddd;font-size: 13px;text-align: center;white-space: nowrap\"><a href=\"https:\/\/geiselmed.dartmouth.edu\/gsr\/microarray\/\" style=\"color: #555;text-decoration: none\">Microarray<\/a><\/td>\n<td style=\"padding: 7px 14px;border-radius: 999px;background: #f5f5f5;border: 1px solid #ddd;font-size: 13px;text-align: center;white-space: nowrap\"><a href=\"https:\/\/geiselmed.dartmouth.edu\/gsr\/sequencing\/\" style=\"color: #555;text-decoration: none\">Sequencing<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>To assist users in determining the most appropriate RNA-seq workflow for their project we have created a tool that can be accessed <a href=\"https:\/\/omics.dartmouth.edu\/genomics-and-molecular-biology\/genomics-cost-calculator\/\">HERE<\/a>. It is always recommended to consult with core staff (free-of-charge) before finalizing an RNA-seq experimental design.<\/p>\n<table style=\"border-collapse: separate;border-spacing: 20px;margin: 0 -20px\">\n<tbody>\n<tr>\n<td width=\"50%\" style=\"vertical-align: top;border: 1px solid #ddd;border-left: 4px solid #00693e;border-radius: 8px;padding: 24px;background: #fff\">\n<h3 style=\"margin: 0 0 4px 0;font-size: 18px;color: #333\">Ribodepletion<\/h3>\n<div style=\"font-size: 22px;font-weight: 600;color: #00693e;margin-bottom: 4px\">$171.04 <span style=\"font-size: 13px;font-weight: 400;color: #666\">\/ sample<\/span><\/div>\n<div style=\"font-size: 12px;color: #999;margin-bottom: 12px\">Based on 30 sample batch<\/div>\n<ul style=\"margin: 0;padding-left: 20px\">\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Full-length coverage for mRNAs and lncRNAs<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Ideal for full transcriptome characterization<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Only option for prokaryotic samples<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Recommended: ~30M reads\/sample<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Up to 192 samples per pool<\/li>\n<\/ul>\n<\/td>\n<td width=\"50%\" style=\"vertical-align: top;border: 1px solid #ddd;border-left: 4px solid #00693e;border-radius: 8px;padding: 24px;background: #fff\">\n<h3 style=\"margin: 0 0 4px 0;font-size: 18px;color: #333\">3' End-Counting<\/h3>\n<div style=\"font-size: 22px;font-weight: 600;color: #00693e;margin-bottom: 4px\">$93.53 <span style=\"font-size: 13px;font-weight: 400;color: #666\">\/ sample<\/span><\/div>\n<div style=\"font-size: 12px;color: #999;margin-bottom: 12px\">Based on 30 sample batch<\/div>\n<ul style=\"margin: 0;padding-left: 20px\">\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Cost-effective differential expression<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Poly-A capture with 3' end amplification<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Best for annotated genomes (Human, Mouse, Rat)<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Cannot identify splice isoforms<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Recommended: ~10M reads\/sample<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Up to 96 samples per pool<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"50%\" style=\"vertical-align: top;border: 1px solid #ddd;border-left: 4px solid #00693e;border-radius: 8px;padding: 24px;background: #fff\">\n<h3 style=\"margin: 0 0 4px 0;font-size: 18px;color: #333\">miRNA \/ smRNA<\/h3>\n<div style=\"font-size: 22px;font-weight: 600;color: #00693e;margin-bottom: 4px\">$194.45 <span style=\"font-size: 13px;font-weight: 400;color: #666\">\/ sample<\/span><\/div>\n<div style=\"font-size: 12px;color: #999;margin-bottom: 12px\">Based on 30 sample batch<\/div>\n<ul style=\"margin: 0;padding-left: 20px\">\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Captures miRNAs\/smRNAs too small for standard workflows<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Direct ligation with UMIs to minimize PCR bias<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Recommended: 1-10M reads\/sample<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Up to 96 samples per pool<\/li>\n<\/ul>\n<\/td>\n<td width=\"50%\" style=\"vertical-align: top;border: 1px solid #ddd;border-left: 4px solid #00693e;border-radius: 8px;padding: 24px;background: #fff\">\n<h3 style=\"margin: 0 0 4px 0;font-size: 18px;color: #333\">Low Input RNA-seq<\/h3>\n<div style=\"font-size: 22px;font-weight: 600;color: #00693e;margin-bottom: 4px\">$156.88 <span style=\"font-size: 13px;font-weight: 400;color: #666\">\/ sample<\/span><\/div>\n<div style=\"font-size: 12px;color: #999;margin-bottom: 12px\">Based on 30 sample batch<\/div>\n<ul style=\"margin: 0;padding-left: 20px\">\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Takara mRNA LP workflow with poly-A capture<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Designed for 250 pg - 10 ng input<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Includes UMIs to minimize PCR bias<\/li>\n<li style=\"font-size: 14px;color: #555;line-height: 1.5\">Recommended: ~30M reads\/sample<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Extraction Nucleic Acid QC RNA-seq DNA-seq Single Cell Spatial Microarray Sequencing To assist users in determining the most appropriate RNA-seq workflow for their project we have created a tool that can be accessed HERE. It is always recommended to consult with core staff (free-of-charge) before finalizing an RNA-seq experimental design. [\u2026] <\/p>\n<div class=\"clear\"><\/div>\n<p><a class=\"more_link clearfix\" href=\"https:\/\/geiselmed.dartmouth.edu\/gsr\/rna-seq\/\" rel=\"nofollow\">Read More<\/a><\/p>\n","protected":false},"author":145,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-619","page","type-page","status-publish","hentry","author-145"],"jetpack_shortlink":"https:\/\/wp.me\/PbaUZP-9Z","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/geiselmed.dartmouth.edu\/gsr\/wp-json\/wp\/v2\/pages\/619","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geiselmed.dartmouth.edu\/gsr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/geiselmed.dartmouth.edu\/gsr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/gsr\/wp-json\/wp\/v2\/users\/145"}],"replies":[{"embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/gsr\/wp-json\/wp\/v2\/comments?post=619"}],"version-history":[{"count":16,"href":"https:\/\/geiselmed.dartmouth.edu\/gsr\/wp-json\/wp\/v2\/pages\/619\/revisions"}],"predecessor-version":[{"id":878,"href":"https:\/\/geiselmed.dartmouth.edu\/gsr\/wp-json\/wp\/v2\/pages\/619\/revisions\/878"}],"wp:attachment":[{"href":"https:\/\/geiselmed.dartmouth.edu\/gsr\/wp-json\/wp\/v2\/media?parent=619"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}