While the IGBB Service Center can perform low-risk, fairly routine biomolecular tasks on a fee-per-service basis, some of your research goals may require (or would most readily be completed with) the help of professionals trained in advanced procedures and/or data analysis techniques. The IGBB research associates, most of whom have Ph.D. degrees and/or many years of practical experience, can be hired to conduct research tasks associated with their specialties. For example, let's say you need an expert in RNA isolation and RNAseq to help you complete a portion of a research project. You could train a student or postdoc to become proficient in these research tasks, but you may not have the experience, time, or money to train someone. Moreover, you may not have the instrumentation you need to do the research correctly. This is where the IGBB can help. Rather than training someone new, you can hire a highly skilled IGBB scientist to perform the research for you. The savings in cost and time is tremendous! The process works like this:
- The principal investigator (PIs) interested in determining whether
the IGBB can help them in their research/analyses contacts one of the IGBB's Research Leads.
- The Research Lead(s) sets up a meeting with the PI to discuss project goals, feasibility, and
approaches. This consultation is free.
- If the PI and the Research Lead agree to a research plan, the
Research Lead
will generate an itemized quote for the PI that includes salary, fringe, reagent
costs, machine costs, etc. The duration of the employment agreement depends upon the needs of the customer and can range from a few hours to several months. In addition, IGBB employment agreements can cover fairly low weekly time committments spread out over long stretches (e.g., a customer may hire an IGBB employee to work on a project 5 hours a week for four years). Overhead charges and/or HPC² retainage costs may or may not be
applicable. Once a plan is set between a PI and an IGBB Research Lead, a final quote will be sent to the PI for approval. Once the PI approves the quote, work can begin.
If you don't have funding in hand, but are working on a grant proposal, you can include the participation of an IGBB expert-for-hire in your proposal budget (note: you must make such agreements with the expert-for-hire through a IGBB itemized quote). To discuss a hiring an IGBB expert, please contact one of the IGBB's Research Leads by phone or e-mail.
NOTE: PIs are asked to consider whether the participation of an IGBB employee in a project merits that employee's inclusion as a co-author on a resulting manuscript(s). The decision ultimately lies with the PI. However, the IGBB encourages IGBB staff and faculty involved in
Proposal Partnerships and
Experts for Hire to discuss/negotiate co-authorship with PIs before starting work on a project.

Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study
IGBB Authors:
Natàlia Garcia-ReyeroPUBLICATION YEAR:
2014IMPACT FACTOR:
25.478CITATION COUNT:
185Li S, Tighe SW, Nicolet CM, Grove D, Levy S, Farmerie W, Viale A, Wright C, Schweitzer PA, Gao Y, Kim D, Boland J, Hicks B, Kim R, Chhangawala S, Jafari N, Raghavachari N, Gandara J, Garcia-Reyero N, Hendrickson C, Roberson D, Rosenfeld J, Smith T, Underwood JG, Wang M, Zumbo P, Baldwin DA, Grills GS, Mason CE (2014) Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study.
Nature Biotechnology 32(9): 915-925.
DOI:
10.1038/nbt.2972EID:
2-s2.0-84922578455PMID: 25150835
DOWNLOAD PDFABSTRACTHigh-throughput RNA sequencing (RNA-seq) greatly expands the potential for genomics discoveries, but the wide variety of platforms, protocols and performance capabilitites has created the need for comprehensive reference data. Here we describe the Association of Biomolecular Resource Facilities next-generation sequencing (ABRF-NGS) study on RNA-seq. We carried out replicate experiments across 15 laboratory sites using reference RNA standards to test four protocols (poly-A-selected, ribo-depleted, size-selected and degraded) on five sequencing platforms (Illumina HiSeq, Life Technologies PGM and Proton, Pacific Biosciences RS and Roche 454). The results show high intraplatform (Spearman rank R > 0.86) and inter-platform (R > 0.83) concordance for expression measures across the deep-count platforms, but highly variable efficiency and cost for splice junction and variant detection between all platforms. For intact RNA, gene expression profiles from rRNA-depletion and poly-A enrichment are similar. In addition, rRNA depletion enables effective analysis of degraded RNA samples. This study provides a broad foundation for cross-platform standardization, evaluation and improvement of RNA-seq
Dr. Nina AboughanemAssociate Research Professor
FACULTY
email(662) 325-7480
Clay Lyle 156
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