Curator Dashboard

A utility, whose output is a PostScript file of aligned sequences with graphical enhancements. Its main input is an ascii file of pre-aligned sequences. Optional files allow further rendering. The program calculates a similarity score for each residue of the aligned sequences. The output shows: * Secondary Structures * Aligned sequences * Similarities * Accessibility * Hydropathy * User-supplied markers * Intermolecular contacts In addition, similarity score can be written in the bfactor column of a pdb file, to enable direct display of highly conserved areas. You can run ESPript from this server with the HTML interface. It is configured for a maximum of 1,000 sequences. Links to webESPript * ENDscript: you can upload a PDB file or enter a PDB code such as 1M85. The programs DSSP and CNS are executed via the interface, so as to obtain an ESPript figure with a lot of structural information (secondary structure elements, intermolecular contacts). You can also find homologous sequences with a BLAST search, perform multiple sequence alignments with MULTALIN or CLUSTALW and create an image with BOBSCRIPT or MOLSCRIPT to show similarities on your 3D structure. * ProDom: you can enter a sequence identifier to find homologous domains, perform multiple sequence alignments with MULTALIN and click on the link to ESPript. * Predict Protein: you can receive a mail in text (do not use the HTML option when you submit your request in Predict Protein) with aligned sequences and numerous information including secondary structure prediction. Click on a special html link to upload your mail in ESPript. * NPS(at): you can execute the programs BLAST and CLUSTALW to obtain multiple alignments. You can predict secondary structure elements and click on the link to ESPript. This program started in the laboratory of Dr Richard Wade at the Institut de Biologie Structurale, Grenoble. It moved later to the Laboratory of Molecular Biophysics in Oxford, then to the Institut de Pharmacologie et de Biologie Structurale in Toulouse. It is now developed in the Laboratoire de BioCristallographie of Dr Richard Haser, Institut de Biologie et de Chimie des Prot��������ines, Lyon and in the Laboratoire de Biologie Mol��������culaire et de Relations Plantes-Organismes, group of Dr Daniel Kahn, Institut National de la Recherche Agronomique de Toulouse.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Integrated RNA-Seq read analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 13 years ago - by Anonymous

An interactive multiresolution brain atlas that is based on over 20 million megapixels of sub-micron resolution, annotated, scanned images of serial sections of both primate and non-primate brains and integrated with a high-speed database for querying and retrieving data about brain structure and function. Currently featured are complete brain atlas datasets for various species, including Macaca mulatta, Chlorocebus aethiops, Felis catus, Mus musculus, Rattus norvegicus, Tyto alba and many other vertebrates. BrainMaps is currently accepting histochemical, immunocytochemical, and tracer connectivity data, preferably whole-brain. In addition, they are interested in EM, MRI, and DTI data.

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• SciCrunch
• 14 years ago - by Anonymous

A database on nucleotide sequences of 5S rRNAs and their genes. The database contains 1985 primary structures of 5S rRNA and 5S rDNA, and was last updated in 2002, according to the website. They include 60 archaebacterial, 470 eubacterial, 63 plastid, nine mitochondrial and 1383 eukaryotic sequences. The nucleotide sequences of the 5S rRNAs or 5S rDNAs are divided according to the taxonomic position of the source organisms. The sequences for particular organisms can be retrieved as single files using a taxonomic browser or in multiple sequence structural alignments. The multiple sequence alignments of 5S ribosomal RNAs can be downloaded in TAB-delimited and FASTA formats.

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• SciCrunch
• 17 years ago - by Anonymous

ESTScan is a program that can detect coding regions in DNA sequences, even if they are of low quality. ESTScan will also detect and correct sequencing errors that lead to frameshifts. ESTScan is not a gene prediction program , nor is it an open reading frame detector. In fact, its strength lies in the fact that it does not require an open reading frame to detect a coding region. As a result, the program may miss a few translated amino acids at either the N or the C terminus, but will detect coding regions with high selectivity and sensitivity. ESTScan takes advantages of the bias in hexanucleotide usage found in coding regions relative to non-coding regions. This bias is formalized as an inhomogeneous 3-periodic fifth-order Hidden Markov Model (HMM). Additionally, the HMM of ESTScan has been extended to allows insertions and deletions when these improve the coding region statistics.

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• SciCrunch
• 15 years ago - by Anonymous

A phylogenetic tree of global human mitochondrial DNA variation, based on both coding- and control-region mutations, and including haplogroup nomenclature.

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• SciCrunch
• 13 years ago - by Anonymous

A network that provides support and NIH funding for neuroscience research and drug development through access to contract research organizations for outsourcing and research consultation. Successful applicants will receive funding to conduct biological testing, access to a full range of industry-style drug development services and expertise, and control of the intellectual property for drug candidates. Funded projects include treatments for age-related macular degeneration, ALS, Alzheimer's disease, depression, hearing loss, optic neuropathy and stroke.

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• SciCrunch
• 15 years ago - by Anonymous

An open-source bioinformatic tool to create simulated omic shotgun and amplicon sequence libraries for all main sequencing platforms. The tool is available through multiple interfaces like GUI, CLI and API. It is useful for simulating clinical or environmental microbial communities and complements the use of in vitro mock communities.

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• SciCrunch
• 13 years ago - by Anonymous

An entry of the Cognitive Atlas which defines the term speech perception.

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• SciCrunch
• 15 years ago - by Anonymous

A department within the University of Washington which focuses on both undergraduate and postgraduate education in biochemistry.

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• SciCrunch
• 15 years ago - by Anonymous

A fast and sensitive variant-caller for inferring single-nucleotide variants (SNVs) from high-throughput sequencing data.

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• SciCrunch
• 13 years ago - by Anonymous

Online portal with resources for education about hydrocephalus as well as community resources for those directly affected, family, and friends. The portal includes a community membership opportunity for people and families affected by hydrocephalus.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016.

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• SciCrunch
• 15 years ago - by Anonymous

Software tool designed to predict the oncogenic potential of fusion genes found by Next-Generation Sequencing in cancer cells.

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• SciCrunch
• 13 years ago - by Anonymous

Expertly collected, well-curated data sets consisting of comprehensive clinical characterization and raw structural, functional and diffusion-weighted DICOM images in schizophrenia patients and gender and age-matched controls are now accessible to the scientific community through an on-line data repository (coins.mrn.org). This data repository will be useful to 1) educators in the fields of neuroimaging, medical image analysis and medical imaging informatics who need exemplar data sets for courses and workshops; 2) computer scientists and software algorithm developers for testing and validating novel registration, segmentation, and other analysis software; and 3) scientists who can study schizophrenia by further analysis of this cohort and/or by pooling with other data.

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• SciCrunch
• 14 years ago - by Anonymous

A portable software framework for medical imaging research. jViewbox consists of a set of Java classes organized under a simple but extensive API that provides the core functionality of 2D image presentation needed by most imaging applications. It follows Java's Swing model closely to make it easy for application developers to build GUIs where end users can use various tools in a tool bar to manipulate the image displays. No optional add-ons or native code is used, which makes jViewBox compatible with any standard Java 2 Runtime Environment (version 1.3 or later).

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• SciCrunch
• 17 years ago - by Anonymous

Software tool for protein coding gene prediction for prokaryotic genomes.

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• SciCrunch
• 13 years ago - by Anonymous

A nonprofit devoted to fostering education, scientific research, and dissemination of information in the physiological sciences. Founded in 1887 with 28 members, the APS now has over 10,500 members. Most members have doctoral degrees in physiology and/or medicine (or other health professions). APS is governed by an elected Council consisting of a President, President-Elect, Past President, and nine Councillors. The National headquarters of the Society is based in Bethesda, Maryland, on the campus of the Federation of American Societies for Experimental Biology (FASEB). The American Physiological Society Awards program demonstrates the Society's dedication to its members and biomedical research by recognizing the research efforts of outstanding APS members. Awards are offered by the Society and the various APS Sections. For questions regarding the Society awards (including Student awards), please send an email to awards_at_the-aps.org. For questions regarding the Section awards please contact the individual Sections directly www.the-aps.org/sections/.

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• SciCrunch
• 15 years ago - by Anonymous

Software application for relationship estimation, in particular between putative sibs when parents are untyped (entry from Genetic Analysis Software)

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• SciCrunch
• 14 years ago - by Anonymous

Software tool that allows to display very long data vectors in a space-efficient manner, allowing the user to visually judge the large scale structure and distribution of features simultaneously with the rough shape and intensity of individual features.

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• SciCrunch
• 13 years ago - by Anonymous