Nevada Bioinformatics Center

Offering specialized bioinformatics and data science trainings on demand in a 1-1 or small groupvsetting (in-person or virtual)

Analysis of 16S rRNA genes, including QC of raw data, preprocessing, alignment, quantification, OUT clustering (ASV can be requested), relative abundance estimates and taxonomic classification, and statistical and microbial community analysis presented as box, stacked bar and PCA plots. Add-on services such as additional statistical analysis are available.

Genome (re)assembly for genome size < 5Gb. Data preprocessing, followed by de novo assembly, polishing, and submitting to NCBI (using the same data type, e.g.,illumina or PacBio). NOT INCLUDED: curation, annotation, phasing haplotypes (using Illumine, PacBio, and/or HiC) – but these services can be requested.

Custom bioinformatics analysis from experimental design to publication for a variety of omic-data, including but not limited to single-cell, metagenomics, gene-ontology, and functional enrichment analyses.

Genome Wide Association Study (GWAS) analysis based upon genotyping-based sequencing (GBS) includes QC with trimming, bwa mapping, SNP detection and QC followed by downstream analysis.

Genome Wide Association Study (GWAS) analysis based upon genotyping-based sequencing (GBS) includes QC with trimming, bwa mapping, SNP detection and QC followed by downstream analysis.

Per Hour.
We offer support to researchers at the pre-proposal phase to help researchers win competitive grant funding by outlining analytical tasks and pipelines, as well as provide cost analyses for experiments.

RNA-Seq differential expression analysis for model or well-annotated organism, including QC of raw data, preprocessing, alignment to genome, quantification, QC of feature counts, and generation of tables of differentially expressed genes for typical two-factor experiment.

RNA-Seq differential expression analysis for model or well-annotated organism, including QC of raw data, preprocessing, alignment to genome, quantification, QC of feature counts, and generation of tables of differentially expressed genes for typical two-factor experiment.

Variant analysis starting from raw data to QC, alignment, variant calling to VCF output and JBrowse integration.

Variant analysis starting from raw data to QC, alignment, variant calling to VCF output and JBrowse integration.

Building pipelines, writing custom code, and creating databases.

Including, but not limited to Ubuntu-Linux workstations/server setup, troubleshooting remote access issues and general computer/software issues, assist in rackable server setup

Analysis of 16S rRNA genes, including QC of raw data, preprocessing, alignment, quantification, OUT clustering (ASV can be requested), relative abundance estimates and taxonomic classification, and statistical and microbial community analysis presented as box, stacked bar and PCA plots. Add-on services such as additional statistical analysis are available.

Genome Wide Association Study (GWAS) analysis based upon genotyping-based sequencing (GBS) includes QC with trimming, bwa mapping, SNP detection and QC followed by downstream analysis.

Genome Wide Association Study (GWAS) analysis based upon genotyping-based sequencing (GBS) includes QC with trimming, bwa mapping, SNP detection and QC followed by downstream analysis.

Variant analysis starting from raw data to QC, alignment, variant calling to VCF output and JBrowse integration.

Variant analysis starting from raw data to QC, alignment, variant calling to VCF output and JBrowse integration.

Building pipelines, writing custom code, and creating databases.

Including, but not limited to Ubuntu-Linux workstations/server setup, troubleshooting remote access issues and general computer/software issues, assist in rackable server setup

Custom bioinformatics analysis from experimental design to publication for a variety of omic-data, including but not limited to single-cell, metagenomics, gene-ontology, and functional enrichment analyses.

RNA-Seq differential expression analysis for model or well-annotated organism, including QC of raw data, preprocessing, alignment to genome, quantification, QC of feature counts, and generation of tables of differentially expressed genes for typical two-factor experiment.

RNA-Seq differential expression analysis for model or well-annotated organism, including QC of raw data, preprocessing, alignment to genome, quantification, QC of feature counts, and generation of tables of differentially expressed genes for typical two-factor experiment.

Genome (re)assembly for genome size < 5Gb. Data preprocessing, followed by de novo assembly, polishing, and submitting to NCBI (using the same data type, e.g.,illumina or PacBio). NOT INCLUDED: curation, annotation, phasing haplotypes (using Illumine, PacBio, and/or HiC) – but these services can be requested.

Offering specialized bioinformatics and data science trainings on demand in a 1-1 or small groupvsetting (in-person or virtual)

Per Hour.
We offer support to researchers at the pre-proposal phase to help researchers win competitive grant funding by outlining analytical tasks and pipelines, as well as provide cost analyses for experiments.