We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
The American Society for Investigative Pathology (ASIP) is a society of biomedical scientists who investigate mechanisms of disease. Investigative pathology is an integrative discipline that links the presentation of disease in the whole organism to its fundamental cellular and molecular mechanisms. It uses a variety of structural, functional, and genetic techniques and ultimately applies research findings to the diagnosis and treatment of diseases. ASIP advocates for the practice of investigative pathology and fosters the professional career development and education of its members. The mission of the Society is to promote the discovery, advancement, and dissemination of basic and translational knowledge in experimental pathology and related disciplines. This shall be achieved by fostering investigation into the pathogenesis, classification, diagnosis, and manifestations of disease through meetings, publications, and educational activities. ASIP welcomes basic and clinical biomedical research scientists as active members.
A software tool for spliced and unspliced alignments and SNP detection of short sequence reads.
Public university based in the city of Liverpool, England. Founded as a college in 1881, it gained its Royal Charter in 1903 with the ability to award degrees and is also known to be one of the six original 'red brick' civic universities.
Database of transcription factor sequences from a single plant species (over 2,500 genes). It is possible to search: # 1,159,022 gene-space sequence reads (GSRs) obtained by methylation filtering from the Tobacco Genome Initiative (TGI). # The DFCI Tobacco Gene Index (Release 4.0 July 5, 2008) that contains 163,524 tobacco EST sequences and 2,288 expressed transcripts (ETs). # The complete TOBFAC database of tobacco transcription factors. It is also possible to search multiple libraries in a single search. They have incorporated tools for downloading all of the sequences from the blast results and also a contig tool to assemble any or all of the resulting sequences. They are also improving the TOBFAC sequences by extending the original contigs using a contig extension tool designed by Ryan Thompson. This has allowed them to refine the predicted genes. These will be updated on a gene family basis as the improved data become available.
The International Agency for Research on Cancer (IARC) is part of the World Health Organization. IARC''s mission is to coordinate and conduct research on the causes of human cancer, the mechanisms of carcinogenesis, and to develop scientific strategies for cancer prevention and control. The Agency is involved in both epidemiological and laboratory research and disseminates scientific information through publications, meetings, courses, and fellowships.
Software package to calculate sequence quality statistics and create visual representations of data quality for Illumina's second-generation sequencing technology.
From time to time the Editor of Health and Stress interviews leaders in the field of stress management on a variety of topics for inclusion in our publications. Some interviews are listed below. For a complete list of interviews and content, you must be a member of AIS and access the Archives.
The mission of AIS is to improve the health of the community by setting the standard of stress management in education, research, clinical care and the workplace. The American Institute of Stress educates medical practitioners, scientists, health care professionals and the public; conducts research; and provides information, training and techniques to prevent human illness related to stress.
BrainImmune is a free web-based reference that provides comprehensive and up-to-date information on the broad spectrum of medical research related to brain-immune interactions and their impact on health and disease. BrainImmune is written collaboratively by experts in the field from all around the world. Here, concise summaries of basic and clinical research describe how the brain and the immune system ''talk'' to each other in order to maintain homeostasis. BrainImmune is continually updated, with articles and opinions on history, the present state of the art, and new ideas and conceptual frameworks for the neurohormonal- and stress-immune interactions and their implications for common human diseases. Our goal in developing BrainImmune is to facilitate and advance neuroendocrine-immunology research, and the communication and collaborations in this vast interdisciplinary area.
A web server for mapping and modeling nsSNPs on protein structures with linkage to metabolic pathways.
International Neuroinformatics Coordinating Facility (INCF) Funding is an overview of funding opportunities for neuroinformatics research and infrastructure. This list is not comprehensive and we are continually adding to it.
Public research university in Lisbon, and the largest university in Portugal. It was founded in 2013, from the merger of two previous public universities located in Lisbon, the former University of Lisbon and the Technical University of Lisbon.
The NIF Standard Ontology (NIFSTD) is a collection of modular ontologies that provides an extensive set of terms and concepts important for the domains of neuroscience and biology, as well as the data and resources relevant for the life sciences. It is a core component of the Neuroscience Information Framework (NIF) project, a semantically enhanced portal for accessing and integrating neuroscience data, tools and information.
A database of transcription factors from 13 plant species, and PCR primers for around 90% of them.
Arabidopsis thaliana promoter binding element database that focuses on specific binding elements on known genes, found with experimental methods.
A database and web service for structural bioinformatics studies of transcription factor (TF)-DNA interactions. Various datasets can be generated based on one or more search options specified by users.
Database that unites independently created and maintained data collections of transcription factor and regulatory sequence annotation. The flexible PAZAR schema permits the representation of diverse information derived from experiments ranging from biochemical protein-DNA binding to cellular reporter gene assays. Data collections can be made available to the public, or restricted to specific system users. The data ''boutiques'' within the shopping-mall-inspired system facilitate the analysis of genomics data and the creation of predictive models of gene regulation., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
A comprehensive collection of human transcription factor binding sites models. DNA sequences of TF binding regions obtained by both pregenomic and high-throughput methods were collected from existing databases and other public data. The ChIPMunk software was used to construct positional weight matrices. Four motif discovery strategies were tested based on different motif shape priors including flat and periodic priors associated with DNA helix pitch. A quality rating was manually assigned to each model based on known binding preferences. An appropriate TFBS model was selected for each TF, with similar models selected for related TFs. In any case only one model per TF was selected unless there was additional evidence for two distinct binding models or different stable modes of dimerization. All TFBS models and initial binding segments data used for motif discovery were mapped to UniPROT IDs.
The IARC Working Group Reports contain common minimum technical standards and protocols for Biological Resource Centres dedicated to Cancer Research. * Cover Page * Table of Contents * Working group participants * Preamble * Definitions * Roles of biological resource centres in cancer research * Recommendations for BRCs * Selected protocols * Annexes
A database of genome-wide chromatin immunoprecipitation (ChIP) data in human and mouse. Currently, the database contains >2000 samples from >500 ChIP-seq and ChIP-chip experiments, representing a total of >170 proteins and >10,000,000 protein-DNA interactions (March 2014). A web server provides an interface for database query. Protein-DNA binding intensities can be retrieved from individual samples for user-provided genomic regions. The retrieved intensities can be used to cluster samples and genomic regions to facilitate exploration of combinatorial patterns, cell type dependencies, and cross-sample variability of protein-DNA interactions.