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Merge pull request #907 from NPDebs/update_ols-9
Add OLS-9 participants to the website
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# List of projects for openseeds ols-9-catalyst | ||
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[] | ||
- 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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