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Merge pull request #907 from NPDebs/update_ols-9
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Add OLS-9 participants to the website
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yochannah authored Nov 8, 2024
2 parents d6d2d4d + 9491b92 commit 63a94be
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33 changes: 31 additions & 2 deletions _data/openseeds/ols-9-catalyst/metadata.yaml
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# People should be also in people.yaml file and linked using their GitHub username
# Ordering by expertise should be done by running the bin/sort-expertises.py script
---
experts: []
experts:
- yochannah
- malvikasharan
- mxrtinez
- joyceykao
- karinlag
- npdebs
- diana-pilvar
- chartgerink
- kirstiejane
facilitators:
- arielle-bennett
- babasaraki
- emmanuel19-ada
- glado718
- karegapauline
- landimi2
- laurah-nyasita-ondari
- lessa-maker
- peranti
organizers:
- bebatut
- malvikasharan
- yochannah
- tajuddeen1
possible-mentors: []
possible-mentors:
- laurah-nyasita-ondari
- malvikasharan
- manulera
- mxrtinez
- gemmaturon
- estherplomp
- hrhotz
- malloryfreeberg
- kipkurui
- sebastian-ayala-ruano
198 changes: 197 additions & 1 deletion _data/openseeds/ols-9-catalyst/projects.yaml
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# List of projects for openseeds ols-9-catalyst
---
[]
- name: Community Building in Biomedical Data Science in Sudan
description: This project aims to build and strengthen a biomedical data science
community in Sudan through educational workshops, networking events, and collaborative
projects. We will create a platform for data science professionals and enthusiasts
to connect, share knowledge, and advance their skills.
participants:
- fadlelmola
- alyaaawad
- nihadalsayed
mentors:
- laurah-nyasita-ondari
keywords:
- Biomedical Data Science
- name: 'Building a Community of a Critical mass of Bioinformaticians in Nigeria:
Leveraging Open Science Principles'
description: This project aims to build a critical mass of bioinformaticians in
Nigeria by leveraging open science principles to address the current expertise
deficit in the field. We plan to establish a robust community through a combination
of training workshops, mentorship programs, and the development of open-access
resources. Key activities include organizing workshops to equip participants with
essential bioinformatics and open science skills and knowledge, creating resources
that will help the community adapt open science tenets to their work and launching
an open training and mentorship program to connect enthusiast with experienced
with professionals. By fostering a culture of openness, we aim to enhance the
quality and reproducibility of scientific research in Nigeria, encouraging collaboration
and continuous learning. This initiative will create a sustainable ecosystem of
professionals capable of driving innovation and contributing to global scientific
advancements, ultimately bridging the expertise gap and promoting a more inclusive
scientific community.
participants:
- seunolufemi123
- emmanuel19-ada
- aymd23
mentors:
- malvikasharan
- tajuddeen1
keywords:
- Community building
- Open Science
- name: Developing a genetic information management system towards precision medicine
description: Without such a tool, implementation of precision medicine is difficult
if not impossible. Existing genetic information management tools are subscribed
for, which pushes the genotyping service way up. Guidelines in common use were
developed mostly using genetic and phenotypic information from other population
that are not of African ancestry, making the generalisation of the recommendations
difficult and less useful. The proposed project aims to address these shortcomings
by taping into the wealth of genetic information and lessons learnt on African
populations ignorer to make the solution relevant to Africa, and Zimbabwe in particular.
participants:
- zchikwambi
- pageneck
- mariehidjo
- cashleyj
- nyashalorrainemapira
mentors:
- manulera
keywords:
- Genetics
- Information management
- name: CABANAnet (Capacity Building for Bioinformatics in Latin America)
description: 'The CABANA project is a program that strengthens individual, institutional,
and regional capacity through six main activities: secondments (long-term visits
and exchanges), train-the-trainer activities, training workshops, eLearning, research
projects, and knowledge exchange meetings (KEM).'
participants:
- rebcamsan
- mariafrdias
- aleserain
- nilson-coimbra
mentors:
- mxrtinez
keywords:
- Training
- eLearning
- name: 'TidyScreen: managing large drug screening campaigns'
description: Research efforts oriented towards the virtual screening of drugs encompasses
the work with huge chemical libraries covering a massive chemical space. The nature
of this chemical space is mainly governed by the biophysical features of the therapeutic
target in study, as well as the synthetic protocols envisioned to obtain new drug
candidates. In this way, a plethora of Python packages have been developed in
order to solve different problems related to the associated screening workflows.
However most of the available solutions as Python packages for the work with chemistry
problems functions in an isolated manner, and generates a vast amount of information
in heterogeneous ways. In this context, developing systematic and organized approaches
to perform such scientific explorations, involving the development of reproducible
and adequately organized data processing and storing workflows within structured
query databases maximizes the success rate of drug discovery research campaigns.
This project is oriented towards generating this kind of solutions, allowing both
new and experienced researchers to perform adequately designed and reproducible
virtual drug screening campaigns.
participants:
- alfredoq
mentors:
- gemmaturon
keywords:
- Drug screening
- Python
- name: Building a Collaborative Network to Advance Bioimaging in Latin America
description: LABI is a regional network that promotes bioimaging in Latin America.
We are dedicated to building capacity and fostering collaboration in the region.
Through training programs, professional development and opening access to infrastructure,
we seek to democratize knowledge and technology in bioimaging. Our goal is to
foster scientific research and technological innovation, promoting quality standards
and best practices in the use of imaging technologies. In addition, we facilitate
the exchange of knowledge and experiences among researchers and technicians from
the region and the world. We work in close collaboration with academic institutions,
research centers, companies and international organizations to advance the field
of bioimaging and contribute to scientific and technological progress in Latin
America.
participants:
- aolivera-labi
mentors:
- estherplomp
keywords:
- Bioimaging
- name: Standards in bioinformatic pipelines
description: Sometimes it is dificult to reproduce a scientific paper, we want to
set a mínimo of rules to make reproducible the bioinformatic pipelines, that all
papers should contain. How we must set up the project in GitHub, in English and
Spanish version
participants:
- yalbi-i-balderas-martinez
mentors:
- hrhotz
keywords:
- Reproducibility
- Bioinformatic pipelines
- name: MolerHealth
description: The Molerhealth project aims to revolutionize healthcare in Nigeria
by developing an open-source electronic health records (EHR) application. This
initiative addresses the critical issue of disease misdiagnosis by enhancing information
sharing and collaboration among healthcare providers, leading to better patient
outcomes and a more efficient healthcare system. Molerhealth offers a secure,
user-friendly platform for individuals to access, update, and share their comprehensive
health records, regardless of location or healthcare provider. This EHR system
ensures seamless continuity of care by making patients' medical history, test
results, medications, allergies, and treatment plans readily available to healthcare
professionals. Leveraging technology, Molerhealth will significantly reduce misdiagnoses
in Nigeria. Doctors will access complete, up-to-date patient profiles, enabling
accurate diagnoses, appropriate treatments, and timely specialist referrals.
participants:
- monsurat-onabajo
- mqnifestkelvin
- bilikis-fadeyi
mentors:
- malloryfreeberg
keywords:
- Electronic health records
- Healthcare system
- name: Deciphering the Role of Phosphatidylethanolamine Transferase (PEMT) in Glioblastoma
MULTIFORME CELL INVASION, PROLIFERATION AND AGGRESSION
description: 'Introduction: Cancer cells reorganize their metabolism to sustain
cell growth and adapt to unfavorable microenvironments. Kang and colleagues (2018)
state that metabolic reprogramming in cancer cells result in diverse metabolic
dependent perturbations that may be targeted for cancer treatment. Generally,
for instance, lipid metabolism powers the rapid growth, migration, invasion, and
metastasis of tumor cells (Cheng et al., 2016). Nonetheless, little is known about
the functions of PEMT in tumor aggression, especially in GBM. Therefore, we hypothesize
that PEMT contributes greatly to increased GBM invasion, proliferation and aggression
capacities. Methods: To investigate the role of PEMT in GBM aggressiveness, we
cloned the PEMT gene into U251 cell lines to overexpress the gene shRNA-mediated
knockdown to silence the gene. Overexpression (OE) and knockdown (KD) were validated
by microscopy, WB and RT-PCR. We conducted functional assays including, cell proliferation
and cell viability. Subsequently, we confirmed epithelial-mesenchymal transition
(EMT) driving markers by RT-PCR and WB.'
participants:
- susan-njuki
- ahmed-abdille
- brevin-ochieng-olunga
- george-odongo
mentors:
- kipkurui
keywords:
- Cancer
- name: Enhancing Openness in the Prediction of Bacterial Pathogens in Yellowing Disease
of Coastal Kenyan Coconuts through Machine Learning
description: The project focuses on leveraging machine learning to predict bacterial
pathogens responsible for the yellowing disease in coastal Kenyan coconuts. By
developing an open-source platform, we aim to foster collaboration, transparency,
and community engagement in agricultural research. The project involves creating
an open-access database of bacterial pathogens and coconut plant health data,
which researchers and agricultural professionals can use and contribute to. We
will develop machine learning algorithms for pathogen identification and disease
prediction, providing valuable tools for proactive disease management. A user-friendly
web-based platform will ensure easy access to data and tools, catering to users
with varying technical expertise. This project enhances research capabilities,
empowers local communities with predictive models, promotes openness and collaboration,
and builds capacity through training and educational resources. The goal is to
create a collaborative environment where knowledge is share
participants:
- adolfmukama
- fatma366
mentors:
- sebastian-ayala-ruano
keywords:
- Bacterial pathogens
- Open-access database
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