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64 changes: 40 additions & 24 deletions _quarto.yml
Original file line number Diff line number Diff line change
Expand Up @@ -8,11 +8,11 @@ website:
location: navbar
type: overlay
reader-mode: true
favicon: contents/logo/helix/favicon.ico
favicon: contents/logo/helix/favicon.ico
site-url: https://componco.github.io/lab_website.github.io/

navbar:
background: primary
background: dark
logo: contents/logo/helix/DNA_scaled.png
search: true
right:
Expand All @@ -22,23 +22,39 @@ website:
- icon: github
href: https://github.com/CompOnco/lab_website/
aria-label: GitHub
- icon: envelope
href: mailto:[email protected]
aria-label: Email


left:
- text: "Home"
file: index.qmd
- text: "Research"
file: projects.qmd
menu:
- text: "Overview"
file: projects.qmd
- text: "eHealth Hub for Cancer"
file: Projects/eHealthHub.qmd
- text: "GDI - Genomic Data Infrastructure"
file: Projects/GDI.qmd
- text: "Single-Cell Methods"
file: Projects/scMethods.qmd
- text: "Bioconductor"
file: Projects/bioconductor.qmd
- text: "Kidney Cancer"
file: Projects/kidneyCancer.qmd
- text: "People"
file: people.qmd
file: people.qmd
- text: "Collaborate"
file: Collaborate.qmd
- text: "News"
file: news.qmd
- text: "Publications"
file: Collaborate.qmd
- text: "Publications & News"
menu:
- publications.qmd
- talks.qmd
- text: "Publications"
file: publications.qmd
- text: "Talks"
file: talks.qmd
- text: "News"
file: news.qmd
- text: "Software"
file: software.qmd
- text: "Join Us"
Expand All @@ -57,30 +73,24 @@ website:
- icon: github
menu:
- text: Report a Bug
url: https://github.com/CompOnco/lab_website/issues
url: https://github.com/CompOnco/lab_website/issues


page-footer:
left:
- text: "@Culhane Lab"
- text: "© 2023 Culhane Lab | University of Limerick"
center: |
![](/contents/logo/LDCRC_Logo_fixed.jpg "Limerick Digital Cancer Research Center"){height="40"}
![](/contents/logo/bioconductor_logo_cmyk.png "Bioconductor"){height="40"}
![](/contents/logo/eHealthHub_logo.png "eHealthHub For Cancer"){height="40"}
![](/contents/logo/Elixir_logo-3927606181.png "ELIXIR"){height="40"}
![](/contents/logo/OHDSI.jpeg "OHDSI Real World Data"){height="40"}
![](/contents/logo/NasPro.png "National Spatial Tissue Profiling Platform"){height="40"}
![](/contents/logo/NSRP_Logo.png){height="40"}
right: |
![](contents/logo/LDCRC_Logo_fixed.jpg){fig-alt="LDCRC" width=150px}


[Privacy Policy](#) | [Terms of Use](#)

repo-url: https://github.com/CompOnco
repo-actions: [edit, issue]



twitter-card:
creator: "@AedinCulhane"
site: "@CulhaneLab"
Expand All @@ -89,10 +99,16 @@ open-graph: true

format:
html:
theme: flatly
css: styles.css
theme:
light: [flatly, styles.css]
dark: [darkly, styles.css]
toc: true

css: styles.css
include-in-header:
text: |
<link href="https://fonts.googleapis.com/css2?family=Lato:wght@300;400;700&display=swap" rel="stylesheet">
<script src="https://unpkg.com/@barba/core"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.11.5/gsap.min.js"></script>
<script src="site.js" defer></script>

editor: visual

113 changes: 106 additions & 7 deletions index.qmd
Original file line number Diff line number Diff line change
@@ -1,17 +1,116 @@
---
title: "Culhane Computational Oncology & Cancer Genomics Lab"
page-layout: full
format:
html:
html-math-method: katex
include-in-header:
text: |
<style>
/* Add any custom styles for this page */
</style>
---

Data is revolutionizing how we diagnose and treat cancer. Advances in sequencing allow us to spatially map and measure and the genome, transcriptome and other multi-omics of each individual single cell in a tumor. These data allow us to build a map of tumor architecture, profile the cells within the tumor and its microenviroment, understand cell-cell interactions and identify new targets for diagnosis and treatment.
---
title: "Culhane Computational Oncology & Cancer Genomics Lab"
page-layout: full
format:
html:
html-math-method: katex
---

::: {.hero-section .fade-in}
# Computational Oncology & Cancer Genomics

We develop computational tools and algorithms to understand cancer biology and improve treatment outcomes.
:::

:::::::::::::::::::::: container
:::::::::::: row
::::: {.col-md-4 .mb-4 .fade-in}
:::: {.card .h-100}
::: card-body
### Our Research

We specialize in developing algorithms for multi-modal analysis of cancer omics data, creating tools to discover insights into tumor evolution and treatment efficacy.

[Explore Projects](projects.html){.btn .btn-primary}
:::
::::
:::::

::::: {.col-md-4 .mb-4 .fade-in}
:::: {.card .h-100}
::: card-body
### Connected Data

We lead initiatives in federated cancer data infrastructure, working with global consortiums to build frameworks that improve cancer research and care.

[Learn More](Projects/eHealthHub.html){.btn .btn-primary}
:::
::::
:::::

::::: {.col-md-4 .mb-4 .fade-in}
:::: {.card .h-100}
::: card-body
### Open Science

We embrace open science principles, contributing to Bioconductor and sharing tools with the research community to accelerate cancer research globally.

[See Our Software](software.html){.btn .btn-primary}
:::
::::
:::::
::::::::::::

::::::::::: {.row .mt-5 .fade-in}
::::: col-md-6
## Recent Publications

::: publication
#### Correspondence analysis for dimension reduction, batch integration, and visualization of single-cell RNA-seq data

**Hsu LL, Culhane AC** (2023) Scientific Reports

[Read Paper](https://doi.org/10.1038/s41598-022-26434-1){.btn .btn-sm .btn-outline-secondary}
:::

::: publication
#### Anti-CAIX BBζ CAR4/8 T cells exhibit superior efficacy in a ccRCC mouse model

**Wang Y, Buck A, Grimaud M, Culhane AC,** et al. (2022) Molecular Therapy Oncolytics

[Read Paper](https://doi.org/10.1016/j.omto.2021.12.019){.btn .btn-sm .btn-outline-secondary}
:::

[View All Publications](publications.html){.btn .btn-primary .mt-3}
:::::

::::::: col-md-6
## Latest News

:::: {.card .mb-3}
::: card-body
### New Grant Award

## Algorithms for multi-modal analysis of cancer 'omics
Our lab has received funding for all-island eHealth research in cancer.

Our computational oncology lab specializes in using bioinformatics, data science and artificial intelligence to analyze clincal cancer genomics data. We develop algorithms to discover new insights into how different types of tumors evolve over time, or the treatments that may be more effective against specific types of cancers. By combining these powerful analytical techniques with medical knowledge about disease progression patterns or drug efficacy rates, our labs can develop algorithms to that researchers understand disease and clinical decision support tools that help clinical teams improve patient outcomes.
[Read More](News/22-04-04_LimerickPost.html){.btn .btn-sm .btn-outline-secondary}
:::
::::

## Federated Connected Cancer Data
:::: {.card .mb-3}
::: card-body
### RTE Brainstorm Article

Working with national, EU and global consortium including the European 1+ Million Genomics Data Infastructure [GDI](https://gdi.onemilliongenomes.eu) and [OHDSI](https://www.ohdsi.org) we are connecting cancer data to develop more comprehensive understanding of cancer. During the pandemic we learned the value of connecting world-wide digital health data to quickly identify trends and develop strategies to improve care. Real word data including electronic health records data compliments data from cancer clinical trial research, which typically study fixed term outcomes. Our lab lead the [eHealth Hub for Cancer]() a Higher Education Authority funded all-island program to build frameworks and computational tools to connect clinical cancer data. In connecting data we can study population level data and support the design of clinical research into new treatments or combinations of treatments that may be more effective than existing ones.
Prof Aedin Culhane and Prof Mark Lawler spoke with RTE Brainstorm about the pressing need for harmonization of clinical cancer health data.

## Open Science and Open Source Software
[Read More](News/22_05_19_BrainStorm.html){.btn .btn-sm .btn-outline-secondary}
:::
::::

We are an open science, open development, open source software lab who values diversity and inclusion. We share our tools to the benefit of the research community, and we benefit from those who share with us. We are in active in [Bioconductor](www.bioconductor.org), a global open source software suite which supports collaboration and sharing of bioinformatics code, data and workflows. It used by over 1 million researchrs worldwide in the analysis and interpretation of genomic data.
[View All News](news.html){.btn .btn-primary}
:::::::
:::::::::::
::::::::::::::::::::::
83 changes: 55 additions & 28 deletions people.qmd
Original file line number Diff line number Diff line change
@@ -1,73 +1,100 @@
---
title: "Culhane Lab"
title: "Our Team"
listing:
- id: PI
contents: "People/PI/*.qmd"
type: grid
grid-columns: 1

- id: Team
contents: "People/Team/*.qmd"
type: grid
grid-columns: 3

- id: Mentoring
contents: "People/Mentoring/*.qmd"
type: grid

grid-columns: 3

image-height: 250px
categories: true
feed: true
sort-ui: [Name]
filter-ui: [title, Name, date, description, categories, tag]
filter-ui: [title, Name, categories, tag]

grid-columns: 3
image-height: 350px

page-layout: full
bibliography: references.bib
---

## Principal Investigator
:::::::::::::::: team-section
## Principal Investigator {.section-title}

:::: fade-in
::: {#PI}
:::
::::

## Team
## Core Team {.section-title}

:::: fade-in
::: {#Team}
:::
::::

## Team (Extended)
## Extended Team {.section-title}

:::: fade-in
::: {#Mentoring}
:::
::::

## Alumni

::: {#Alumni}
:::
## Alumni {.section-title}

::::::::: {.alumni-grid .fade-in}
::: alumni-card
#### [Lauren Hsu](https://www.linkedin.com/in/lauren-hsu-155a282a/)

PhD Candidate in Biostatistics at Harvard

[Lauren Hsu](https://www.linkedin.com/in/lauren-hsu-155a282a/)\
PhD Candidate in Biostatistics at Harvard\
Publications: [@hsu2020; @Lê2021; @Hsu2023]
:::

::: alumni-card
#### [Azfar Basunia](https://www.pennmedicine.org/departments-and-centers/department-of-radiology/education-and-training/residency-programs/current-residents/diagnostic-radiology-residents)

Diagnostic Radiology Resident at Penn Medicine. Department of Radiology

[Azfar Basunia](https://www.pennmedicine.org/departments-and-centers/department-of-radiology/education-and-training/residency-programs/current-residents/diagnostic-radiology-residents)\
Diagnostic Radiology Resident at Penn Medicine. Department of Radiology \
Publications: [@Ramos2017; @Meng2019; @Schwede2020]
:::

::: alumni-card
#### [Chen Meng](https://www.linkedin.com/in/chen-meng-0422b226/)

Center Leader Bioinformatics at the Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS)

[Chen Meng](https://www.linkedin.com/in/chen-meng-0422b226/)\
Center Leader Bioinformatics at the Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS)\
Publications: [@Meng2016; @Lê2021; @Meng2019; @Meng2014; @Meng2016a; @Thorsson2019]
:::

::: alumni-card
#### [Daniel Gusenleitner](https://www.linkedin.com/in/daniel-gusenleitner-2b295188/)

Head of Computational Biology at Mercy BioAnalytics, Inc.

Publications: [@gusenleitner2012; @Schröder2013; @Culhane2012]
:::

[Daniel Gusenleitner](https://www.linkedin.com/in/daniel-gusenleitner-2b295188/)\
Head of Computational Biology at Mercy BioAnalytics, Inc.\
Publications:[@gusenleitner2012; @Schröder2013; @Culhane2012]
::: alumni-card
#### [Matthew Schwede](https://www.linkedin.com/in/matthew-schwede-9a051415/)

Hematology Oncology Fellow at Stanford University School of Medicine

[Matthew Schwede](https://www.linkedin.com/in/matthew-schwede-9a051415/)\
Hematology Oncology Fellow at Stanford University School of Medicine\
Publications: [@Wang2012; @Schwede2013; @Santagata2014; @Schwede2020; @Chittenden2010]
:::

::: alumni-card
#### [Oana Zeleznik](https://www.linkedin.com/in/oanazeleznik/)

Instructor in Medicine, Harvard Medical School and Associate Epidemiologist, Brigham and Women's Hospital

[Oana Zeleznik](https://www.linkedin.com/in/oanazeleznik/)\
Instructor in Medicine, Harvard Medical School and Associate Epidemiologist, Brigham and Women's Hospital\
Publications: [@Meng2016]
:::
:::::::::
::::::::::::::::
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