feat: create research and projects pages (#133)

* Add files via upload

* Update elhabashy-hadeer.mjs

* Update elhabashy-hadeer.mjs

* Update elhabashy-hadeer.mjs

* Update index.md

* Update index.md

* Update difuture.md

* Update difuture.md

* Update difuture.md

* Update difuture.md

* Update epic-xs.md

* Update food-profiling.md

* Update a4b.md

* Update pers-ons.md

* Update index.md

* Update index.md

* Update index.md

* Update elhabashy-hadeer.mjs

* Update elhabashy-hadeer.mjs

src/.vitepress/data/persons/elhabashy-hadeer.mjs

@@ -1,9 +1,22 @@
 import { TeamID, definePerson } from '../..';
 
 export default definePerson({
-    avatar: '/images/persons/elhabashi-hadeer.png',
+
+    email: '[email protected]',
+    phone: '+49-7071-29-70457',
+    avatar: '/images/persons/elhabashy-hadeer.png',
     name: 'Hadeer Elhabashy',
-    team: TeamID.ABI,
     role: 'Postdoc',
-    socialLinks: [],
+    team: TeamID.ABI,
+    socialLinks: [
+        { icon: 'github', link: 'https://github.com/ElhabashyLab' },
+        { icon: 'linkedin', link: 'https://linkedin.com/in/hadeer-elhabashy-88373254' },
+        { icon: 'x', link: 'https://x.com/HadeerElhabashy' },
+    ],
+    education: [
+        { year: 2023, value: 'Ph.D. in Bioinformatics, University of Tübingen/Max Planck Institute for Biology Tübingen' },
+        { year: 2016, value: 'M.Sc. in Physics, The American University in Cairo' },
+        { year: 2012, value: 'preM.Sc. in Molecular BioPhysics, Cairo University' },
+        { year: 2010, value: 'B.Sc. in BioPhysics, Cairo University' },
+    ],
 });

src/projects/a4b.md

@@ -1 +1,5 @@
 # A4B
+Analytics for Biologics\
+Project Website: http://www.analytics4biologics.eu
+
+The Analytics for Biologics (A4B) project is a Europe-wide innovative training network (ITN). Funded by the Horizon 2020 Marie Sklodowska-Curie Action ITN 2017 of the European Commission (H2020-MSCA-ITN-2017), the graduate school A4B will offer a specific training program for the production, purification, and analysis therapeutic protein species. The project is composed of 11 consortium members and 6 industrial partners.

src/projects/difuture.md

@@ -1 +1,6 @@
 # DIFUTURE
+
+Data Integration for Future Medicine\
+Project Website: https://difuture.de
+
+This project is one of the four consortia selected by the German Ministry of Education and Research for funding during the development and networking phase in the [Medical Informatics Initiative](https://www.medizininformatik-initiative.de/en/start). It aims at providing data of comprehensive depth and breadth to physicians and to medical researchers. We will work on an acceleration of innovation, improved health care processes and decision support, resulting in tangible benefits for the patient.

src/projects/epic-xs.md

@@ -1 +1,5 @@
 # Epic-XS
+European Proteomics Infrastructure Consortium\
+Project Website: https://epic-xs.eu
+
+The European Proteomics Infrastructure Consortium providing access (EPIC-XS) consists of a unified network of experienced access providers and research groups who share a common goal; to facilitate the development and sustainability of proteomics exploration to all life science researchers within the European Union. The initiative is coordinated by Albert Heck, professor of Biomolecular Mass Spectrometry and Proteomics at Utrecht University.

src/projects/food-profiling.md

@@ -1 +1,5 @@
 # Food Profiling
+Solutions for Food Authentication\
+Project Website: https://www.food-profiling.org
+
+The COMPETENCE NETWORK FOOD PROFILING (CNFP) is a scientific joint project comprising academic partner institutions and private enterprises. The project is funded over a time of 36 months with 3.4 Mio EUR by means of the Federal Ministry of Food and Agriculture (BMEL) by a decision of the German Bundestag (parliament). Project support is provided by the Federal Institute for Agriculture and Food (BLE) within the scope of the program for promoting innovation. The consortium is headed by the HAMBURG SCHOOL OF FOOD SCIENCE. The focus lays on developments in the area of ​​instrumental analysis for the authentication of foodstuffs.

src/projects/pers-ons.md

@@ -1 +1,5 @@
 # PersOns
+Personalizing Oncology via Semantic Integration of Data\
+Project Website: https://persons-project.informatik.uni-tuebingen.de
+
+The central goal of the project is to develop a software system for providing homogeneous and intuitive access to all data relevant to therapeutic decisions. The project will enable clinicians to select stratified patient cohorts based on a full semantic integration of clinical and high-throughput (HT) data and to bring personalized tumor therapy to a new level through a touch-based visual analytics tool allowing intuitive access to all data – literally ‘information at your fingertips’. An interdisciplinary team, comprising experts from oncology, bioinformatics, clinical data management, cognitive sciences and UI-designer, works together to achieve these goals in order to optimize patient treatment.

src/research/index.md

@@ -1 +1,27 @@
 # Research
+The research areas of the Kohlbacher Lab are rather diverse and span from classical bioinformatics topics including sequence, structure, and systems bioinformatics to translational bioinformatics and personalized medicine. The following list gives an overview of our current research areas and provides links to more detailed information pages on our current projects.
+
+## Computational Immunomics
+Computational immunomics applies bioinformatics methods to gain a deeper understanding of the immune system. Furthermore it assists medical research by providing computational models which help to solve immunology-related problems. Our group develops various computational immunomics methods, primarily for mass spectrometry (MHC ligandomics) and NGS (HLA typing, neoepitope discovery) based analyses.
+
+More on our current projects can be found here.
+
+## Computational Mass Spectrometry and Metabolomics
+We are focused on development and integration of analysis pipelines for molecular tumor table backends mainly centered around high-throughput data extraction and integration, automated processing of incoming data, annotation of therapeutic options and visualisation of network-derived contexts and analysis results.
+
+More on our current projects can be found here.
+
+## Personalized Medicine
+We are focused on development and integration of analysis pipelines for molecular tumor table backends mainly centered around high-throughput data extraction and integration, automated processing of incoming data, annotation of therapeutic options and visualisation of network-derived contexts and analysis results.
+
+More on our current projects can be found here.
+
+## Structural Bioinformatics
+Structural Bioinformatics is one of the long established research fields in our group and has strived various subfields comprising theoretical and applied computer-aided drug design (CADD), cheminformatics, molecular mechanics-based modelling, or the prediction of protein-protein complexes. Additionally, we spent a significant amount of our time in the development of high-quality software tools providing solutions to some of these challenges that we make publicly available. On this web page we briefly present selected topics of our current research.
+
+More on our current projects can be found here.
+
+## Translational Bioinformatics
+Translational Bioinformatics is a field at the interface of bioinformatics and medical informatics. By integrating molecular data (bioinformatics) and healthcare data (medical informatics), it becomes possible to identify identify new pathomechanisms, suggest personalized therapies, or enable machine learning on medical data. Current projects include the development of infrastructures and methods to enable molecular tumor boards and new methods for distributed, privacy-preserving data analytics.
+
+More on our current projects can be found here.

src/software/index.md

@@ -1 +1,36 @@
 # Software
+Software Packages
+
+## OpenMS
+Open-source software for mass spectrometry analysis.\
+Project Website: https://www.openms.de\
+Repository: https://github.com/OpenMS/OpenMS
+## BALL
+Biochemical Algorithms Library in C++ for Rapid Software Prototyping.\
+Project Website: https://ball-project.org\
+Repository: https://github.com/BALL-Project
+## Fred2
+Python-based framework for computational immunomics.\
+Project Website: https://fred-2.github.io\
+Repository: https://github.com/FRED-2/Fred2
+
+# Webserver
+
+## NRPSpredictor2
+A program to predict adenylation domain specificity from sequence.
+Webservice: https://abi-services.cs.uni-tuebingen.de/nrps2/Controller?cmd=SubmitJob
+
+## MultiLoc2
+Integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction.
+Webservice: https://abi-services.cs.uni-tuebingen.de/multiloc2/webloc.cgi
+Repository: https://github.com/KohlbacherLab/MultiLoc2
+
+## SherLoc2
+A high-accuracy hybrid method for predicting subcellular localization of proteins.
+Webservice: https://abi-services.cs.uni-tuebingen.de/sherloc2/webloc.cgi
+Repository: https://github.com/KohlbacherLab/SherLoc2
+
+## YLoc
+An interpretable web server for predicting subcellular localization.
+Repository: https://github.com/KohlbacherLab/YLoc
+