Find open-source science resources
A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.
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2,558 of 7,078 resources
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Web-application assembling the largest in vitro drug screens in a single database, and allowing users to easily query the union of studies released to date. Query by tissue.
A web-based catalog of recommended measurement protocols selected by experts to include in studies with human participants.
A gene in the Pathogen-Host Interaction Database
PhosphoSite is a mammalian protein database that provides information about in vivo phosphorylation sites. This datatype refers to curation records that collect information extracted from specific publications.
Site groups are orthologous positions in human, mouse, rat, etc. where phosphorylations or other PTMs occur.
The Philippine Health Research Registry (PHRR), managed by the Philippine Council for Health Research and Development, is a tool for good governance to promote transparency and accountability in health research. PHRR is a publicly accessible database on newly approved health researches. It includes clinical trials and non-clinical studies conducted in the Philippines. The registry is compliant with the World Health Organization (WHO) standard for clinical trials registry. [from website]
A combination of an ISBN and local unique identifier for articles and other published works. Please see the [Wikipedia page](https://en.wikipedia.org/wiki/Publisher_Item_Identifier) for a detailed explanation. Some PIIs are used as the local identifiers in DOIs, such as https://doi.org/10.1136/S0003-4967(24)38620-0.
The Protein Information Resource (PIR) had its final release in 2004 and is now a part of UniProt
An ontologization of Public Library of Science (PLOS) journal keywords and topics. It's not clear how the IDs correspond to the actual pages. Appears in ADCAD.
Identifiers correspond to curated and proteomics-inferred associations between protein post-translational modifications (PTM) and drug sensitivity.
Methods and tools for (pre-)processing of metabolomics datasets (i.e. peak matrices), including filtering, normalisation, missing value imputation, scaling, and signal drift and batch effect correction methods. Filtering methods are based on: the fraction of missing values (across samples or features); Relative Standard Deviation (RSD) calculated from the Quality Control (QC) samples; the blank samples. Normalisation methods include Probabilistic Quotient Normalisation (PQN) and normalisation to total signal intensity. A unified user interface for several commonly used missing value imputation algorithms is also provided. Supported methods are: k-nearest neighbours (knn), random forests (rf), Bayesian PCA missing value estimator (bpca), mean or median value of the given feature and a constant small value. The generalised logarithm (glog) transformation algorithm is available to stabilise the variance across low and high intensity mass spectral features. Finally, this package provides an implementation of the Quality Control-Robust Spline Correction (QCRSC) algorithm for signal drift and batch effect correction of mass spectrometry-based datasets.