Curator Dashboard

Software tool as bisulfite sequencing analysis platform. Offers support for bisulfite sequencing read simulation, alignment, methylation calling, data aggregation, and data imputation. Works with array of bisulfite sequencing data,including whole genome bisulfite sequencing, reduced representative bisulfite sequencing data, and targeted methylation sequencing data.

• Resource
• SciCrunch
• 6 years ago - submitted by colin farrell

Integrated long non coding RNA knowledgebase to explore lncRNA biology in context of tissue of interest, disease of interest, or simply browse by names. Knowledgebase of tissue specific functional annotation and trait association of long noncoding RNA.

• Resource
• dkNET
• 6 years ago - submitted by Ko-Wei Lin

International initiative led by team of researchers and clinicians and supported by the US Cystic Fibrosis Foundation that seeks to provide complete, advanced and expert reviewed functional and clinical information on CFTR mutations. Provides information for patients, researchers, and general public about specific variants. For each variant or variant combination included in database, website will provide information about whether variant or variant combination is CF-causing, and information about sweat chloride, lung function, pancreatic status, and Pseudomonas infection rate in patients in CFTR2 database with this variant or variant combination.

• Resource
• RRID-Legacy
• 6 years ago - by Anonymous

Streptavidine PE eBioscience

• Resource
• SciCrunch
• 6 years ago - submitted by Roberto Mallone

Software tool as method for identification of driving transcriptional programs based on AutoEncoder derived Relevance scores. Infers relevance scores for transcriptional programs with respect to specified outcomes of interest in single-cell RNA sequencing data, such as psuedotemporal ordering or disease status.Used for manifold interpretation in scRNA-seq data.

• Resource
• SciCrunch
• 6 years ago - submitted by Lukas Simon

Open access tool to convert, cross-match, and link various lipid annotations to tools supporting lipid ontology, pathway, and network analysis aiming systems wide integration and functional annotation of lipidome dynamics in health and disease.Data transfer hub to support integration of large scale lipidomics datasets.

• Resource
• dkNET
• 6 years ago - submitted by Ko-Wei Lin

Expert curated resource that provides framework for integration of lipid and lipidomic data with biological knowledge and models. Provides curated knowledge of lipid structures and metabolism which is used to generate in silico library of feasible lipid structures. These are arranged in hierarchical classification that links mass spectrometry analytical outputs to all possible lipid structures, metabolic reactions and enzymes. Provides reference namespace for lipidomic data publication, data exploration and hypothesis generation.

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• dkNET
• 6 years ago - submitted by Ko-Wei Lin

Atlas includes co-registered templates constructed from MR images frequently used to characterize macroscopic brain structure T2/SPACE and T1/MP-RAGE, and diffusion tensor imaging template.

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• NIF
• 6 years ago - by Anonymous

Software tool as tutorial for genome annotation using Augustus and PASA pipelines. Annotation of Hapalochlanea maculosa genome. Contains all scripts and code required to reproduce annotation of Blue Ringed Octopus genome.

• Resource
• RRID-Legacy
• 6 years ago - by Anonymous

Spanish public university with campus in Leon and Ponferrada.

• Resource
• RRID-Legacy
• 6 years ago - submitted by Edyta Vieth

Netflow traffic generated using DOROTHEA (DOcker-based fRamework fOr gaTHering nEtflow trAffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device. Netflow flows have been captured without sampling at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued. In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used. These datasets have been used to train machine learning models.

• Resource
• RRID-Legacy
• 6 years ago - submitted by Ignacio Crespo

Netflow traffic generated using DOROTHEA (DOcker-based fRamework fOr gaTHering nEtflow trAffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device. Netflow flows have been captured by sampling at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued. In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used. These datasets have been used to train machine learning models.

• Resource
• RRID-Legacy
• 6 years ago - submitted by Ignacio Crespo

Netflow traffic generated using DOROTHEA (DOcker-based fRamework fOr gaTHering nEtflow trAffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device. Netflow flows have been captured by sampling at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued. In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used. These datasets have been used to test previously trained models.

• Resource
• RRID-Legacy
• 6 years ago - submitted by Ignacio Crespo

Netflow traffic generated using DOROTHEA (DOcker-based fRamework fOr gaTHering nEtflow trAffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device. Netflow flows have been captured by sampling at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued. In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used. These datasets have been used to test previously trained models.

• Resource
• RRID-Legacy
• 6 years ago - submitted by Ignacio Crespo

Netflow traffic generated using DOROTHEA (DOcker-based fRamework fOr gaTHering nEtflow trAffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device. Netflow flows have been captured by sampling at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued. In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used. These datasets have been used to test previously trained models.

• Resource
• RRID-Legacy
• 6 years ago - submitted by Ignacio Crespo

Netflow traffic generated using DOROTHEA (DOcker-based fRamework fOr gaTHering nEtflow trAffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device. Netflow flows have been captured without sampling at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued. In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used. These datasets have been used to train machine learning models.

• Resource
• RRID-Legacy
• 6 years ago - submitted by Ignacio Crespo

Open source data platform and multidisciplinary online repository where research groups and different organizations store and make public their datasets, managed by Scayle. Collection of public datasets are available through open.scayle.es and can be reused. NetFlow is network protocol developed by Cisco for collection and monitoring of network traffic flow data generated. Netflow datasets have been used to train machine learning models.

• Resource
• RRID-Legacy
• 6 years ago - submitted by Ignacio Crespo

The mass spectrometry core facility offers instrumentation for characterizing elements and compounds across the entire mass range from quantitative metal analysis to intact protein mass measurement. Instrumentation is also available for proteomics, metabolomics, MALDI imaging and HDX-MS. Specialized mass spectrometers encompass variety of ionization techniques and separation devices to cover wide range of analytical capabilities. The facility accepts samples and will perform requested analysis. Staff can also offer training to conduct experimentation. Instrumentation include Bruker timsTOF fleX, Thermo Orbitrap Fusion, Bruker Microflex and ultrafleXtreme MALDI-TOF, Agilent GC-MS, Waters Xevo TQD with UPLC, Waters Synapt G2Si with full HDX automation, Perkin Elmer NexION ICP-MS

• Resource
• SciCrunch
• 6 years ago - submitted by Edyta Vieth

Collegiate research university, located in the city of York, England. Established in 1963, the university has expanded to more than thirty departments and centres, covering a wide range of subjects.

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• RRID-Legacy
• 6 years ago - submitted by Edyta Vieth

International database of prospectively registered systematic reviews in health and social care, welfare, public health, education, crime, justice, and international development, where there is health related outcome. Key features from review protocol are recorded and maintained as permanent record. Aims to provide comprehensive listing of systematic reviews registered at inception to help avoid duplication and reduce opportunity for reporting bias by enabling comparison of completed review with what was planned in protocol.

• Resource
• RRID-Legacy
• 6 years ago - submitted by Anita Bandrowski