High Throughput Library Construction for Next-Generation Sequencing


This page describes the high throughput Illumina library preparation service provided by the Genomic Diversity Facility (GDF), which is now a subsection of the Genomics Facility.  Pricing is available here.


Whole genome sequencing

Library construction, including sample quantification and library QC, is currently available for TruSeq-equivalent libraries (8 sample minimum), standard Nextera or Nextera XT libraries (8 sample minimum), or low cost, 1/3 concentration Nextera skim sequencing libraries (95 sample minimum).

Sample submission. Inquire: BRC_Genomic-Diversity@cornell.edu



The Genomic Diversity Facility now offers high-throughput 3’ RNA seq (48- or 96-plex) using the Lexogen Quantseq FWD kit.

3’RNA seq is the best alternative to microarrays and conventional RNA seq for gene counting, expression and eQTL studies. High strand specificity allows discovery and quantification of antisense transcripts and overlapping genes.  Because the exact position of the 3’end of the polyA RNA is determined, accurate sequence information is obtained for the 3’UTR.  More reliable gene expression values are obtained because only one cDNA is produced per transcript (length normalization is not required).  Unlike conventional RNA seq, however, 3’RNA seq does not generate information on splice-site junctions/alternative splicing.

Sample submission. Inquire: BRC_Genomic-Diversity@cornell.edu


Custom Genotyping

A new genotyping method, rAmpSeq, based on amplifying unique loci (several thousand per DNA sample) using primers anchored in repetitive DNA (i.e., transposable elements) has been developed for maize (Zea mays), cassava (Manihot esculenta), and sorghum (Sorghum bicolor). Because up to 3,072 samples can be multiplexed in one sequencing lane, this technology is well-suited for large genomic selection projects. (Inquire: BRC_Genomic-Diversity@cornell.edu).

Barcoding of purified PCR products for multiplex sequencing of custom amplicons is now available using either Nextera or TruSeq dual indices. (Inquire: BRC_Genomics@cornell.edu).