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2. Bioinformatic Harvester - Wikipedia

   en.wikipedia.org/wiki/Bioinformatic_Harvester

   The Bioinformatic Harvester was a bioinformatic meta search engine created by the European Molecular Biology Laboratory [1] and subsequently hosted and further developed by KIT Karlsruhe Institute of Technology for genes and protein-associated information.

3. Biomedical text mining - Wikipedia

   en.wikipedia.org/wiki/Biomedical_text_mining

   Biomedical text mining supports applications for identifying documents and concepts matching search queries. Search engines such as PubMed search allow users to query literature databases with words or phrases present in document contents, metadata, or indices such as MeSH. Similar approaches may be used for medical literature retrieval.

4. List of biological databases - Wikipedia

   en.wikipedia.org/wiki/List_of_biological_databases

   Institute of Bioinformatics (IOB), Bangalore, India: One source claims 15000 [17] proteins. But it is unclear how many of these are unique Pfam: Sanger Institute: protein families database of alignments and HMMs Protein sequence databases Human Proteinpedia: Institute of Bioinformatics (IOB), Bangalore and Johns Hopkins University,

5. National Center for Biotechnology Information - Wikipedia

   en.wikipedia.org/wiki/National_Center_for...

   All these databases are available online through the Entrez search engine. NCBI was directed by David Lipman, [2] one of the original authors of the BLAST sequence alignment program [3] and a widely respected figure in bioinformatics.

6. Bioinformatics Research Network - Wikipedia

   en.wikipedia.org/wiki/Bioinformatics_Research...

   It is a community-driven 501(c)(3) non-profit organization [1] that aims to establish a worldwide network that is open to anyone interested in bioinformatics irrespective of academic background and to provide bioinformatics training, mentorship and the opportunity to collaborate on exciting research projects.

7. Biomedical data science - Wikipedia

   en.wikipedia.org/wiki/Biomedical_data_science

   Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data.