School of Medicine

Center for Bioinformatics Services (CBS)

 

SERVICE FEES  

The BIDSSC provides services on a cost-recovery basis. We operate three cost recovery service models:

   

Model 1: Collaborative research model which involves cost sharing. Under this model our staff serves as collaborators on the project and their effort is funded by the project, usually a grant or any agreed upon funding arrangement. This model is appropriate for medium to large projects with higher complexity requiring substantial time involvement (5% or more effort).  

 

Model 2: Hourly fee based. Under this model fees are charged per hour spent on the project. These charges are determine by in three ways as listed below. This model is appropriate for small to medium projects with medium level of complexity with less time involvement (less than 5% effort).  

 

Model 3: Project based model. Under this model the total cost of the project is determine by evaluating the scope of the project and the time required to execute it. This model is appropriate for small projects with no complexity, with very little time involvement (less than 3% effort).  

 

In addition to the three service models mentioned above, we also provide services through our Free Clinic held on Fridays from 3:00pm to 5:00pm. This service is provided free of charge once per project.

 

Below are some of the fees: 

Data Analysis (Per Hour)

Custom bioinformatics analysis from experimental design to publication.

LSUHSC Campu $ 100
Non-LSUHSC Academic $ 158
Private Enterprise $ 195

Bioinformatics and computational genomics (Per Hour)

Bioinformatics and computational genomics data analysis.

LSUHSC Campus $ 160
Non-LSUHSC Academic $ 251
Private Enterprise $ 310

Software Architecture (Per Hour)

Building pipelines, writing code, and creating databases.

LSUHSC Campus $ 150
Non-LSUHSC Academic $ 236
Private Enterprise $ 291

Expression Profiling Data Analysis (Per Sample)

RNA-Seq differential expression analysis for model organism (human, mouse), including QC of raw data, alignment to genome, and generation of tables of differentially expressed genes for typical small projects. Up to 24 samples.

LSUHSC Campus $ 80
Non-LSUHSC Academic $ 126
Private Enterprise $ 155

Human Genome/Exome SNP Analysis (Per Sample)

Variant analysis starting from raw data to QC, then alignment, and finally, variant calling.

LSUHSC Campus $ 100
Non-LSUHSC Academic $ 156
Private Enterprise $ 193

Human Genome/Exome Analysis plus Copy Number Variation (Per Sample)

Variant analysis starting from raw data to QC, then alignment, and finally, variant calling including CNVs.

LSUHSC Campus $ 125
Non-LSUHSC Academic $ 197
Private Enterprise $ 243

RNA-Seq (Per Project)

RNA-Seq differential expression analysis for model organism (human, mouse), including QC of raw data, alignment to genome, and generation of tables of differentially expressed genes for typical two-factor experiment. For projects with 25 samples or more.

LSUHSC Campus $ 2055
Non-LSUHSC Academic $ 3227
Private Enterprise $ 3981

Basic Genome Assembly (Per Project)  

Genome assembly for genome size < 4Gb. Data preprocessing, followed by de novo assembly, and polishing (using the same data type).

LSUHSC Campus $ 2000
Non-LSUHSC Academic $ 3160
Private Enterprise $ 3900

Functional analysis (network and pathways, IPA) (Per Project)  

Network and pathways, IPA and other bioinformatics tools.

LSUHSC Campus $ 1500
Non-LSUHSC Academic $ 2000
Private Enterprise $ 2500

 

NOTE: Hourly data analysis charges apply to custom data analyses, including setup of non-model organisms, proteomics and integrative omics analyses, single-cell RNASeq, custom visualizations, etc. Please contact us to arrange for a consultation and/or estimate of the cost of analyzing your data. We typically do not charge for initial consultations.

 

Authorship

Under model 1, co-authorship is required. Under models 1 and 2, we request co-authorship (and will assist with manuscript preparation) if we have developed novel tools, algorithms, or pipelines, participated in experiment design planning, or have contributed substantially to a biological question addressed in a manuscript as guided by international journals authorship guidelines. We ask that, at minimum, you acknowledge us in a publication to which we have contributed routine analysis, data management or conversion, or data submission services.