{"id":1808,"date":"2025-06-09T15:02:05","date_gmt":"2025-06-09T19:02:05","guid":{"rendered":"https:\/\/scienceweb.clemson.edu\/chg\/?page_id=1808"},"modified":"2026-02-06T14:05:03","modified_gmt":"2026-02-06T19:05:03","slug":"bsc-core","status":"publish","type":"page","link":"https:\/\/scienceweb.clemson.edu\/ihg\/research-cores\/bsc-core\/","title":{"rendered":"Bioinformatics and Statistics Core"},"content":{"rendered":"

[et_pb_section fb_built=”1″ disabled_on=”on||” admin_label=”Hero” _builder_version=”4.27.4″ use_background_color_gradient=”on” background_color_gradient_stops=”rgba(71,74,182,0.27) 0%|rgba(50,46,102,0.6) 100%” background_color_gradient_start=”rgba(71,74,182,0.27)” background_color_gradient_end=”rgba(50,46,102,0.6)” background_image=”https:\/\/scienceweb.clemson.edu\/chg\/wp-content\/uploads\/sites\/4\/2025\/07\/IMG_0556-1-scaled-2.jpg” background_blend=”overlay” custom_padding=”|0px||0px” animation_style=”slide” animation_direction=”top” animation_intensity_slide=”2%” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_width_px=”1280px” global_colors_info=”{}” button_one_text_size__hover_enabled=”off” button_one_text_size__hover=”null” button_two_text_size__hover_enabled=”off” button_two_text_size__hover=”null” button_one_text_color__hover_enabled=”on” button_one_text_color__hover=”#3550a0″ button_two_text_color__hover_enabled=”on” button_two_text_color__hover=”#ffffff” button_one_border_width__hover_enabled=”off” button_one_border_width__hover=”null” button_two_border_width__hover_enabled=”off” button_two_border_width__hover=”null” button_one_border_color__hover_enabled=”off” button_one_border_color__hover=”null” button_two_border_color__hover_enabled=”off” button_two_border_color__hover=”null” button_one_border_radius__hover_enabled=”off” button_one_border_radius__hover=”null” button_two_border_radius__hover_enabled=”off” button_two_border_radius__hover=”null” button_one_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover=”null” button_two_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover=”null” button_one_bg_color__hover_enabled=”on” button_one_bg_color__hover=”rgba(255,255,255,0.8)” button_two_bg_color__hover_enabled=”on” button_two_bg_color__hover=”rgba(255,255,255,0.3)”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_divider color=”rgba(126,190,197,0)” divider_style=”none” divider_position=”center” divider_weight=”0″ _builder_version=”4.27.4″ height=”100px” custom_margin=”200px||200px|” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”on||” admin_label=”Hero” _builder_version=”4.16″ background_position=”top_center” background_blend=”overlay” custom_padding=”|0px||0px” animation_style=”slide” animation_direction=”top” animation_intensity_slide=”2%” saved_tabs=”all” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.4″ background_color=”#522d80″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”-150px||” custom_padding=”|60px||60px” box_shadow_style=”preset1″ custom_width_px=”1280px” global_colors_info=”{}” button_one_text_size__hover_enabled=”off” button_one_text_size__hover=”null” button_two_text_size__hover_enabled=”off” button_two_text_size__hover=”null” button_one_text_color__hover_enabled=”on” button_one_text_color__hover=”#3550a0″ button_two_text_color__hover_enabled=”on” button_two_text_color__hover=”#ffffff” button_one_border_width__hover_enabled=”off” button_one_border_width__hover=”null” button_two_border_width__hover_enabled=”off” button_two_border_width__hover=”null” button_one_border_color__hover_enabled=”off” button_one_border_color__hover=”null” button_two_border_color__hover_enabled=”off” button_two_border_color__hover=”null” button_one_border_radius__hover_enabled=”off” button_one_border_radius__hover=”null” button_two_border_radius__hover_enabled=”off” button_two_border_radius__hover=”null” button_one_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover=”null” button_two_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover=”null” button_one_bg_color__hover_enabled=”on” button_one_bg_color__hover=”rgba(255,255,255,0.8)” button_two_bg_color__hover_enabled=”on” button_two_bg_color__hover=”rgba(255,255,255,0.3)”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.27.5″ text_font=”–et_global_body_font||||||||” text_font_size=”20px” header_font=”–et_global_heading_font|700|||||||” header_font_size=”48px” header_line_height=”1.2em” background_layout=”dark” custom_padding=”|||” hover_enabled=”0″ header_font_size_last_edited=”off|desktop” locked=”off” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

IHG Bioinformatics and Statistics Core<\/h1>\n

The Bioinformatics & Statistics Core provides comprehensive computational genomics and statistical analysis services spanning single-cell and bulk transcriptomics, genetic variant analysis, epigenetics, microbiome analysis, population genetics, and network-based modeling. We offer expertise in GWAS and TWAS, along with rigorous statistical consultation to support robust experimental design from project inception through interpretation. Our dedicated high-performance computing environment features both CPU and heterogeneous GPU architectures, including NVIDIA and AMD GPUs, paired with petabyte-scale, high-throughput storage to support data-intensive workflows. We emphasize reproducible, end-to-end pipelines that ensure scalability, transparency, and long-term usability of results.<\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”|on|on” admin_label=”Hero” _builder_version=”4.27.4″ use_background_color_gradient=”on” background_color_gradient_stops=”rgba(71,74,182,0.27) 0%|#322e66 100%” background_color_gradient_start=”rgba(71,74,182,0.27)” background_color_gradient_end=”#322e66″ background_image=”https:\/\/scienceweb.clemson.edu\/chg\/wp-content\/uploads\/sites\/4\/2025\/07\/IMG_0556-1-scaled-1.jpg” background_position=”top_center” background_blend=”overlay” custom_padding=”|0px||0px” animation_style=”slide” animation_direction=”top” animation_intensity_slide=”2%” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_width_px=”1280px” global_colors_info=”{}” button_one_text_size__hover_enabled=”off” button_one_text_size__hover=”null” button_two_text_size__hover_enabled=”off” button_two_text_size__hover=”null” button_one_text_color__hover_enabled=”on” button_one_text_color__hover=”#3550a0″ button_two_text_color__hover_enabled=”on” button_two_text_color__hover=”#ffffff” button_one_border_width__hover_enabled=”off” button_one_border_width__hover=”null” button_two_border_width__hover_enabled=”off” button_two_border_width__hover=”null” button_one_border_color__hover_enabled=”off” button_one_border_color__hover=”null” button_two_border_color__hover_enabled=”off” button_two_border_color__hover=”null” button_one_border_radius__hover_enabled=”off” button_one_border_radius__hover=”null” button_two_border_radius__hover_enabled=”off” button_two_border_radius__hover=”null” button_one_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover=”null” button_two_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover=”null” button_one_bg_color__hover_enabled=”on” button_one_bg_color__hover=”rgba(255,255,255,0.8)” button_two_bg_color__hover_enabled=”on” button_two_bg_color__hover=”rgba(255,255,255,0.3)”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_divider color=”rgba(126,190,197,0)” divider_style=”none” divider_position=”center” divider_weight=”0″ _builder_version=”4.16″ height=”6px” custom_margin=”100px||100px|” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”|on|on” admin_label=”Hero” _builder_version=”4.16″ background_color=”#8300e9″ use_background_color_gradient=”on” background_color_gradient_stops=”rgba(71,74,182,0.27) 0%|#322e66 100%” background_color_gradient_start=”rgba(71,74,182,0.27)” background_color_gradient_end=”#322e66″ background_position=”top_center” background_blend=”overlay” custom_padding=”10px|0px|10px|0px” animation_style=”slide” animation_direction=”top” animation_intensity_slide=”2%” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_width_px=”1280px” global_colors_info=”{}” button_one_text_size__hover_enabled=”off” button_one_text_size__hover=”null” button_two_text_size__hover_enabled=”off” button_two_text_size__hover=”null” button_one_text_color__hover_enabled=”on” button_one_text_color__hover=”#3550a0″ button_two_text_color__hover_enabled=”on” button_two_text_color__hover=”#ffffff” button_one_border_width__hover_enabled=”off” button_one_border_width__hover=”null” button_two_border_width__hover_enabled=”off” button_two_border_width__hover=”null” button_one_border_color__hover_enabled=”off” button_one_border_color__hover=”null” button_two_border_color__hover_enabled=”off” button_two_border_color__hover=”null” button_one_border_radius__hover_enabled=”off” button_one_border_radius__hover=”null” button_two_border_radius__hover_enabled=”off” button_two_border_radius__hover=”null” button_one_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover=”null” button_two_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover=”null” button_one_bg_color__hover_enabled=”on” button_one_bg_color__hover=”rgba(255,255,255,0.8)” button_two_bg_color__hover_enabled=”on” button_two_bg_color__hover=”rgba(255,255,255,0.3)”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.27.4″ text_font_size=”26px” text_line_height=”1.2em” header_font=”|on|||” header_font_size=”26px” header_line_height=”1.2em” background_layout=”dark” custom_padding=”|||” header_font_size_last_edited=”off|desktop” locked=”off” global_colors_info=”{}”]<\/p>\n

IHG Bioinformatics and Statistics Core<\/h1>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.5″ text_text_color=”#FFFFFF” text_font_size=”14px” text_line_height=”1.2em” header_text_color=”#FFFFFF” header_3_text_color=”#FFFFFF” locked=”off” global_colors_info=”{}”]<\/p>\n

The Bioinformatics & Statistics Core provides comprehensive computational genomics and statistical analysis services spanning single-cell and bulk transcriptomics, genetic variant analysis, epigenetics, microbiome analysis, population genetics, and network-based modeling. We offer expertise in GWAS and TWAS, along with rigorous statistical consultation to support robust experimental design from project inception through interpretation. Our dedicated high-performance computing environment features both CPU and heterogeneous GPU architectures, including NVIDIA and AMD GPUs, paired with petabyte-scale, high-throughput storage to support data-intensive workflows. We emphasize reproducible, end-to-end pipelines that ensure scalability, transparency, and long-term usability of results.<\/span><\/h3>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_row column_structure=”3_5,2_5″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/scienceweb.clemson.edu\/chg\/wp-content\/uploads\/sites\/4\/2025\/06\/Untitled.png” alt=”One woman and two men stand in front of a purple banner that says Center for Human Genetics.” title_text=”Bioinformatics_Core” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_font=”–et_global_body_font||||||||” text_font_size=”20px” header_font=”–et_global_heading_font||||||||” header_font_size=”37px” header_2_font=”–et_global_heading_font||||||||” global_colors_info=”{}”]<\/p>\n

Meet the Bioinformatics and Statistics Core<\/strong><\/h2>\n

Dr. Vijay Shankar (pictured right)<\/strong> directs the Clemson University Institute for Human Genetics Bioinformatics and Statistics Core. Ms. Maria Adonay (pictured center)<\/strong> serves as a Bioinformatician in the Core. Dr. John Poole (pictured left)<\/strong> serves as a Bioinformatician and Programmer in the Core. Combined, they hold a total of more than 20 years of bioinformatics and statistics experience!<\/span><\/p>\n

<\/span>Our Core provides comprehensive services for transcriptomics, genetics and genomic analyses, epigenetics and statistics. We are happy to consult with you about your project, and help design your experiment!<\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.4″ _module_preset=”default” min_height=”1696.8px” custom_margin=”||-98px|||” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Equipment” _builder_version=”4.27.4″ _module_preset=”default” title_level=”h2″ title_font=”–et_global_heading_font|700|||||||” title_text_align=”center” title_font_size=”29px” global_colors_info=”{}”][\/et_pb_heading][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”GPU Computing” image=”https:\/\/scienceweb.clemson.edu\/chg\/wp-content\/uploads\/sites\/4\/2025\/06\/DGXRESIZE-1.png” alt=”NVIDIA GPU server with multiple GPUs and cooling units extended for display.” _builder_version=”4.27.4″ _module_preset=”default” header_level=”h3″ header_font=”–et_global_heading_font||||||||” global_colors_info=”{}”]<\/p>\n

We have a series of GPU computing resources on our cluster which include a NVIDIA DGX-A100, H100NVL nodes and L40S nodes. These play critical roles in hyper-parallelism for computational acceleration and ML\/DL-based AI workflows.<\/span><\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Petabyte Scale Data Storage” image=”https:\/\/scienceweb.clemson.edu\/chg\/wp-content\/uploads\/sites\/4\/2025\/06\/PETARESIZ.png” alt=”Front view of a Dell EMC server tower with two stacked units and visible drive bays.” _builder_version=”4.27.4″ _module_preset=”default” header_level=”h3″ header_font=”–et_global_heading_font||||||||” body_font=”–et_global_body_font||||||||” global_colors_info=”{}”]<\/p>\n

The enterprise-grade storage solution on our cluster is enabled by the flexible and scalable Dell PowerVault ME architecture. The PowerVaults are connected to storage hosts through dual-redundant high speed 12GB SAS. The PowerVaults are configured under RAID6 for two-drive failure at each volume group.<\/span><\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”High Density Computing” image=”https:\/\/scienceweb.clemson.edu\/chg\/wp-content\/uploads\/sites\/4\/2025\/06\/DELLRESIZE.png” alt=”Dell PowerEdge 2U rack server with multiple drive bays and front ventilation grilles.” _builder_version=”4.27.4″ _module_preset=”default” header_level=”h3″ header_font=”–et_global_heading_font||||||||” body_font=”–et_global_body_font||||||||” global_colors_info=”{}”]<\/p>\n

We have maximized our compute performance within limited rack space by implementing and investing in ultra-high density computational frameworks such as the 2U C6400 and C6600 units. These house multiple compute nodes within each chassis and allow for flexible customization of compute hardware.<\/span><\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Secretariat Statistics” _builder_version=”4.27.4″ _module_preset=”default” title_level=”h2″ title_text_align=”center” title_font_size=”29px” global_colors_info=”{}”][\/et_pb_heading][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/scienceweb.clemson.edu\/chg\/wp-content\/uploads\/sites\/4\/2025\/06\/chg_secretariat-users_3d_5-in-w_5-in-h_20250612-e1753889650524.png” alt=”The bar graph above illustrates the total number of Secretariat Users each year, beginning in 2019, ending in 2025.” title_text=”Number of Secretariat Users” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_toggle title=”Graph Description” _builder_version=”4.27.5″ _module_preset=”default” title_level=”h3″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

The bar graph above illustrates the total number of Secretariat Users each year. The graph begins in 2019 and ends in 2025. In 2019, there were 8 users. In 2020, there were 21 users. In 2021, there were 43 users. In 2022, there were 50 users. In 2023, there were 79 users. In 2024, there were 128 users. In 2025, there are currently 143 users.<\/p>\n

[\/et_pb_toggle][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_number_counter title=”Data Stored on Secretariat” number=”786 TB” percent_sign=”off” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_number_counter][et_pb_number_counter title=”CPU Core Hours Used on Secretariat in 2025″ number=”200,000+” percent_sign=”off” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_number_counter][et_pb_number_counter title=”Number of Labs Currently Serviced by Secretariat” number=”20″ percent_sign=”off” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_number_counter][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Services” _builder_version=”4.27.4″ _module_preset=”default” title_level=”h2″ title_font=”–et_global_heading_font|700|||||||” title_text_align=”center” title_font_size=”29px” global_colors_info=”{}”][\/et_pb_heading][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Courses” _builder_version=”4.27.4″ custom_padding=”0px|0px|4px|0px||” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_accordion _builder_version=”4.27.4″ _module_preset=”default” toggle_level=”h3″ toggle_font=”–et_global_heading_font||||||||” background_color=”#f56600″ global_colors_info=”{}”][et_pb_accordion_item title=”Bulk Transcriptomics” open=”on” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Our core offers comprehensive end-to-end analysis and interpretation for reference-based and\u00a0de novo\u00a0<\/em>whole and targeted transcriptomes. We can also customize the workflows based on the experimental design and biological questions.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Single-Cell\/Nuclei Transcriptomics” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

<\/span>We offer a well-established gold standard analysis workflow for processing single cell\/nuclei transcriptomic and multi-assay data from quality control to cell type annotation, differential expression testing and network-based analyses.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Genetic Variant Analysis” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

Our core is able to offer an ultra-high throughput, GPU-accelerated variant calling analysis framework which includes short nucleotide\u00a0and\u00a0structural variants as well as variant annotation for a range of project sizes, from small cohorts, all the way to population-scale datasets.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Network-based Statistical Analyses” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

<\/span>Our core statisticians are able to enhance your analysis insights by adding network-based analysis to your project workflow. These include co-expression and co-occurrence analyses, interaction-based networks, and network topology- and index-based comparison analyses.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”GWAS & TWAS” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

<\/span>Our team of statistical geneticists are able to offer our univariate and multivariate genome and transcriptome wide association analyses as custom workflows. These workflows also include variant annotation and interpretation.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Microbiome Community & Functional Analysis” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

<\/span>We offer analysis workflows for community profiling of 16S\/18S\/ITS data through QIIME and QIIME2, functional profiling of shotgun metagenomics data through HUMAnN, and microbial gene-expression profiling of meta-transcriptomic data through MG-RAST and MetaTrans.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Whole Genome Assembly & Annotation” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” toggle_font=”||||||||” open=”off”]<\/p>\n

We offer a series of pipelines for reference-based and de novo<\/em> genome assembly and annotation from short read, long read and hybrid sequencing approaches. We also are able to build pangenome workflows for reference panels and population-scale whole genome sequencing data.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Population Genetics” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

<\/span>Our core\u2019s population genetics workflow include analyses such as phylogenetics, population structure characterization and stratification, and calculation of population genetic parameters.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Epigenetics” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

We have standardized workflows for ATAC- and\u00a0ChIP-seq that we can offer as service. We can also build customized workflows for DNA methylation and chromatin conformation (HiC) data.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Statistical Consultation” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

Our team of statisticians and bioinformatics are able to assist in the aspects of your projects such as experimental design, statistical power calculation, exploratory analyses, data-driven hypothesis generation and\u00a0statistical formalization of biological questions. We can also develop new statistical approaches to address your project-specific questions.<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Call to Action” _builder_version=”4.27.4″ _module_preset=”default” background_color=”#522d80″ custom_padding=”10px||10px||true|false” locked=”off” collapsed=”on” global_colors_info=”{%22#22577a%22:%91%22background_color%22%93}”][et_pb_row column_structure=”2_3,1_3″ _builder_version=”4.24.2″ _module_preset=”5138c454-be54-4233-bd3b-f8e6a8747976″ global_colors_info=”{}”][et_pb_column type=”2_3″ _builder_version=”4.18.0″ _module_preset=”73121f80-a3ef-4484-8763-c3f18e3c56d2″ global_colors_info=”{}”][et_pb_blurb title=”Connect with Our Experts” use_icon=”on” font_icon=”||fa||900″ icon_color=”#FFFFFF” icon_placement=”left” image_icon_width=”40px” content_max_width=”100%” _builder_version=”4.27.4″ _module_preset=”ca79a742-981f-479f-a8a2-3a0292efaff0″ header_level=”h2″ header_font=”–et_global_heading_font|IBM Plex Sans Condensed_weight|||||||” header_text_color=”#FFFFFF” header_font_size=”18px” header_line_height=”1.4em” body_font=”–et_global_body_font|IBM Plex Sans_weight|||||||” body_text_color=”#FFFFFF” body_font_size=”16px” body_line_height=”1.75em” body_link_font=”||||on||||” body_link_text_color=”#FFFFFF” body_link_font_size=”14px” background_mask_style=”arch” animation=”off” header_font_size_tablet=”15px” header_font_size_phone=”14px” header_font_size_last_edited=”on|phone” body_font_size_tablet=”15px” body_font_size_phone=”14px” body_font_size_last_edited=”on|desktop” border_radii_image=”on|6px|6px|6px|6px” global_colors_info=”{%22gcid-f2943306-fa6c-45f0-b632-5fc00151366a%22:%91%22button_text_color%22%93,%22gcid-36fd78a7-34bc-404d-873c-dafa34efaae5%22:%91%22button_text_color%22%93}”]<\/p>\n

Ready to explore how our Bioinformatics and Statistics Core can benefit your research? Reach out today to schedule a consultation with our team and discover the possibilities.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.18.0″ _module_preset=”73121f80-a3ef-4484-8763-c3f18e3c56d2″ global_colors_info=”{}”][et_pb_button button_url=”mailto:ihgenomics@clemson.edu” button_text=”Schedule a Consultation” button_alignment=”right” button_alignment_tablet=”left” button_alignment_phone=”left” button_alignment_last_edited=”on|tablet” _builder_version=”4.27.4″ _module_preset=”ab15fb74-61a3-43aa-96b3-41e09aeef654″ custom_button=”on” button_text_size=”14px” button_text_color=”#522d80″ button_bg_color=”#FFFFFF” button_border_width=”0px” button_border_radius=”100px” button_font=”–et_global_body_font|700|||||||” custom_padding=”12px|24px|12px|24px|true|true” locked=”off” global_colors_info=”{%22#57cc99%22:%91%22button_text_color%22%93}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

IHG Bioinformatics and Statistics Core The Bioinformatics & Statistics Core provides comprehensive computational genomics and statistical analysis services spanning single-cell and bulk transcriptomics, genetic variant analysis, epigenetics, microbiome analysis, population genetics, and network-based modeling. We offer expertise in GWAS and TWAS, along with rigorous statistical consultation to support robust experimental design from project inception through […]<\/p>\n","protected":false},"author":57,"featured_media":0,"parent":1747,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-1808","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/pages\/1808","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/users\/57"}],"replies":[{"embeddable":true,"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/comments?post=1808"}],"version-history":[{"count":0,"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/pages\/1808\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/pages\/1747"}],"wp:attachment":[{"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/media?parent=1808"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}