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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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SemiBin Resource Report Resource Website 10+ mentions |
SemiBin (RRID:SCR_026896) | software application, software resource, source code | Software command tool for metagenomic binning with deep learning, handles both short and long reads. Used for metagenomic binning at contig level which uses deep contrastive learning. | command tool, metagenomic binning, contig level, short and long reads, | National Natural Science Foundation of China ; Shanghai Municipal Science and Technology Major Project |
PMID:35484115 PMID:37387171 |
Free, Available for download, Freely available | SCR_026896 | SemiBin2 | 2026-02-16 09:51:16 | 10 | ||||||||
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GFFx Resource Report Resource Website 1+ mentions |
GFFx (RRID:SCR_027445) | software toolkit, source code, software resource | Software Rust-Based suite of utilities for ultra-fast genomic feature extraction. Used for ultra-fast and scalable genome annotation access. Can be used both as a command-line tool and as a Rust library. | genomic feature extraction, genome annotation access, | National Natural Science Foundation of China | DOI:10.1101/2025.08.08.669426 | Free, Available for download, Freely available | https://crates.io/crates/gffx | SCR_027445 | 2026-02-16 09:51:23 | 1 | ||||||||
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SeedGerm-VIG Resource Report Resource Website 1+ mentions |
SeedGerm-VIG (RRID:SCR_027483) | software application, data processing software, data analysis software, source code, software resource, time-series analysis software | Software pipeline to quantify seed vigour in wheat and other cereal crops using deep learning powered dynamic phenotypic analysis. | seed vigour, germination, vision-based deep learning, dynamic trait analysis, wheat | National Natural Science Foundation of China 32070400 & U24A20402; Allan & Gill Gray Foundation’ Sustainable Productivity for Crop Improvement G118688; the United Kingdom Research and Innovation's (UKRI) Biotechnology and Biological Sciences Research Council (BBSRC) AI in Bioscience Grant BB/Y513969/1; BBSRC’s International Partnership Grant BB/Y514081/1; BBSRC’s ALERT grant BB/X019683/1 |
DOI:10.1093/gigascience/giaf129 | Free, Available for download, Freely available | SCR_027483 | 2026-02-16 09:51:24 | 1 | |||||||||
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ImmuCellAI Resource Report Resource Website 1+ mentions |
ImmuCellAI (RRID:SCR_027645) | software application, software resource, source code | Software tool for comprehensive T‐Cell subsets abundance prediction and its application in cancer immunotherapy. | Cell subsets abundance prediction, predicting immunotherapy response, cancer immunotherapy estimate, immune cells, gene expression dataset, | National Natural Science Foundation of China | PMID:32274301 | Free, Available for download, Freely available | https://github.com/lydiaMyr/ImmuCellAI | SCR_027645 | Immune Cell Abundance Identifier | 2026-02-16 09:51:27 | 6 | |||||||
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SciBet Resource Report Resource Website 1+ mentions |
SciBet (RRID:SCR_024743) | software application, software resource, simulation software | Software tool as supervised cell type identifier that accurately predicts cell identity for newly sequenced single cells. | supervised cell type identifier, predict cell identity, newly sequenced single cells | National Natural Science Foundation of China | PMID:32286268 | Free, Available for download, Freely available | SCR_024743 | 2026-02-16 09:50:46 | 4 | |||||||||
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PhaSeDis Resource Report Resource Website 1+ mentions |
PhaSeDis (RRID:SCR_024963) | database, data or information resource | Manually curated database of relations between phase separation and diseases. | Manually curated database, relations between phase separation and diseases, | National Key Research and Development Program of China ; National Natural Science Foundation of China |
PMID:33126250 | Free, Freely available | SCR_024963 | MloDisDB | 2026-02-16 09:50:51 | 4 | ||||||||
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PhaSepDB Resource Report Resource Website 10+ mentions |
PhaSepDB (RRID:SCR_024964) | database, data or information resource | Provides a collection of manually curated phase separation (PS) proteins and Membraneless organelles (MLOs) related proteins. Annotated phase separation-related proteins with droplet states, co-phase separation partners and other experimental information. | Membraneless organelles related proteins, collection of manually curated phase separation proteins, phase separation proteins, | National Key Research and Development Program of China ; National Natural Science Foundation of China |
DOI:10.1093/nar/gkac783 | Free, Freely available | SCR_024964 | 2026-02-16 09:50:57 | 20 | |||||||||
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RPS Resource Report Resource Website |
RPS (RRID:SCR_024960) | database, data or information resource | Comprehensive database of RNAs involved in liquid-liquid phase separation. | RNAs, liquid-liquid phase separation, | National Natural Science Foundation of China ; Program for Guangdong Introducing Innovative and Entrepreneurial Teams ; Guangdong Basic and Applied Basic Research Foundation |
PMID:34718734 | Free, Freely available | SCR_024960 | 2026-02-16 09:50:57 | 0 | |||||||||
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GOEAST - Gene Ontology Enrichment Analysis Software Toolkit Resource Report Resource Website 10+ mentions |
GOEAST - Gene Ontology Enrichment Analysis Software Toolkit (RRID:SCR_006580) | GOEAST | production service resource, service resource, data analysis service, analysis service resource | Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) is a web based software toolkit providing easy to use, visualizable, comprehensive and unbiased Gene Ontology (GO) analysis for high-throughput experimental results, especially for results from microarray hybridization experiments. The main function of GOEAST is to identify significantly enriched GO terms among give lists of genes using accurate statistical methods. Compared with available GO analysis tools, GOEAST has the following unique features: * GOEAST supports analysis for data from various resources, such as expression data obtained using Affymetrix, illumina, Agilent or customized microarray platforms. GOEAST also supports non-microarray based experimental data. The web-based feature makes GOEAST very user friendly; users only have to provide a list of genes in correct formats. * GOEAST provides visualizable analysis results, by generating graphs exhibiting enriched GO terms as well as their relationships in the whole GO hierarchy. * Note that GOEAST generates separate graph for each of the three GO categories, namely biological process, molecular function and cellular component. * GOEAST allows comparison of results from multiple experiments (see Multi-GOEAST tool). The displayed color of each GO term node in graphs generated by Multi-GOEAST is the combination of different colors used in individual GOEAST analysis. Platform: Online tool | statistical analysis, gene ontology, high-throughput, microarray, hybridization, gene, visualization, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Chinese Academy of Sciences; Beijing; China |
National Natural Science Foundation of China 30725014; National Natural Science Foundation of China 90612019; Ministry of Science and Technology of China 2007CB946901; Chinese Academy of Sciences KSCX2-YW-R-134; Chinese Academy of Sciences KSCX2-YW-N-024 |
PMID:18487275 | Free for academic use | biotools:goeast, nlx_149248 | https://bio.tools/goeast | SCR_006580 | Gene Ontology Enrichment Analysis Software Toolkit, Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) | 2026-02-16 09:46:45 | 38 | ||||
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hTFtarget Resource Report Resource Website 10+ mentions |
hTFtarget (RRID:SCR_025626) | database, data or information resource, source code, software resource | Comprehensive database for regulations of Human Transcription Factors and their targets. Provides tools for visualization, interpretation, and analysis of pathway knowledge. | Human transcription factor database, human transcription factor, pathway knowledge, | National Natural Science Foundation of China ; National Key R&D Program of China ; China Postdoctoral Science Foundation |
PMID:32858223 | Free, Freely available | http://bioinfo.life.hust.edu.cn/hTFtarget | SCR_025626 | 2026-02-16 09:50:59 | 40 | ||||||||
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Chinese Genome Sequence Archive Resource Report Resource Website 1000+ mentions |
Chinese Genome Sequence Archive (RRID:SCR_025826) | GSE | database, data or information resource | Public archive of raw sequence data in National Genomics Data Center as part of the China National Center for Bioinformation. GSA accepts worldwide data submissions, performs data curation and quality control for all submitted data. Provides data storage and sharing services. | Chinese National Genomics Data Center, raw sequence data, data storage and sharing, | National Key R and D Program of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Genomics Data Center Construction of Chinese Academy of Sciences ; National Natural Science Foundation of China ; International Partnership Program of the Chinese Academy of Sciences |
PMID:34400360 | r3d100012342 | https://doi.org/10.17616/R3094D | SCR_025826 | Genome Sequence Archive Family, , Genome Sequence Archive | 2026-02-16 09:51:11 | 1031 | ||||||
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CancerSEA Resource Report Resource Website 50+ mentions |
CancerSEA (RRID:SCR_026155) | database, data or information resource | Database that aims to comprehensively explore distinct functional states of cancer cells at the single-cell level. Provides functional state-associated PCG/lncRNA repertoires across all cancers, in specific cancers, and in individual cancer single-cell datasets. Provides interface for comprehensively searching, browsing, visualizing and downloading functional state activity profiles of cancer single cells and corresponding PCGs/lncRNAs expression profiles. | cancer single cells, PCGs/lncRNAs expression profiles, distinct functional states of cancer cells, single-cell level, searching, browsing, visualizing and downloading, functional state activity profiles, | National High Technology Research and Development Program of China ; National Natural Science Foundation of China |
PMID:30329142 | Free, Freely available | SCR_026155 | Cancer Single-cell State Atlas | 2026-02-16 09:51:06 | 80 | ||||||||
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Gene Expression Profiling Interactive Analysis 2 Resource Report Resource Website 500+ mentions |
Gene Expression Profiling Interactive Analysis 2 (RRID:SCR_026154) | data access protocol, software resource, web service | Enhanced web server for large-scale expression profiling and interactive analysis. GEPIA2 is updated and enhanced version of GEPIA, offering more functionalities, higher resolution data analysis, and additional features like ability to analyze specific cancer subtypes, quantify gene signatures based on single-cell sequencing studies, and allow users to upload their own RNA-seq data for comparison with the TCGA and GTEx datasets; essentially providing more comprehensive and advanced platform for gene expression analysis compared to the original GEPIA version. | gene expression analysis, large-scale expression profiling, interactive analysis, quantify gene signatures, | is related to: Gene Expression Profiling Interactive Analysis | National Natural Science Foundation of China ; Peking University |
PMID:31114875 | Free, Freely available | GEPIA2 | http://gepia2.cancer-pku.cn/ | SCR_026154 | Gene Expression Profiling Interactive Analysis 2 | 2026-02-16 09:51:12 | 545 | |||||
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HapHiC Resource Report Resource Website 10+ mentions |
HapHiC (RRID:SCR_026284) | software application, software resource, source code | Software fast, reference-independent, allele-aware scaffolding tool based on Hi-C data. Allele-aware scaffolding tool that uses Hi-C data to scaffold haplotype-phased genome assemblies into chromosome-scale pseudomolecules. | reference-independent, allele-aware scaffolding tool, performance on chromosome assignment, contig ordering and orientation, Hi-C data, scaffold haplotype-phased genome assemblies, chromosome-scale pseudomolecules, | National Natural Science Foundation of China | PMID:39103456 | Free, Available for download, Freely available | SCR_026284 | 2026-02-16 09:51:12 | 13 | |||||||||
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Coding-Non-Coding Index Resource Report Resource Website |
Coding-Non-Coding Index (RRID:SCR_026554) | CNCI | software application, software resource, source code | Software tool for utilizing sequence intrinsic composition to classify protein-coding and long non-coding transcripts. | utilizing sequence intrinsic composition, classify protein-coding and long non-coding transcripts, | National Natural Science Foundation of China | PMID:23892401 | Free, Available for download, Freely available | SCR_026554 | Coding-Non-Coding Index (CNCI) | 2026-02-16 09:51:11 | 0 | |||||||
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Beijing: Short TR Study Resource Report Resource Website 1+ mentions |
Beijing: Short TR Study (RRID:SCR_003502) | Beijing Short TR | data set, data or information resource | Dataset of resting state fMRI scans obtained using two different TR's in healthy college-aged volunteers. Specifically, for each participant, data is being obtained with a short TR (0.4 seconds) and a long TR (2.0 seconds). In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 8-minute resting-state fMRI scan (TR = 2 seconds, # repetitions = 240) * 8-minute resting-state fMRI scans (TR = 0.4 seconds, # repetitions = 1200) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information | nifti, fmri, resting-state fmri, image collection, early adult human, mprage, diffusion tensor imaging, neuroimaging, brain, demographic |
has parent organization: Beijing Normal University; Beijing; China has parent organization: 1000 Functional Connectomes Project |
Healthy | National Natural Science Foundation of China 30770594; National High Technology Program of China 2008AA02Z405 |
Creative Commons Attribution-NonCommercial License | nlx_157642 | SCR_003502 | Beijing Normal University State Key Laboratory of Cognitive Neuroscience and Learning Short TR Sample, BNU Short TR Sample | 2026-02-16 09:46:09 | 6 | |||||
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MedBlast Resource Report Resource Website 1+ mentions |
MedBlast (RRID:SCR_008202) | software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. An algorithm that finds articles most relevant to a genetic sequence. In the genomic era, researchers often want to know more information about a biological sequence by retrieving its related articles. However, there is no available tool yet to achieve conveniently this goal. Here, a new literature-mining tool MedBlast is developed, which uses natural language processing techniques, to retrieve the related articles of a given sequence. An online server of this program is also provided. The genome sequencing projects generate such a large amount of data every day that many molecular biologists often encounter some sequences that they know nothing about. Literature is usually the principal resource of such information. It is relatively easy to mine the articles cited by the sequence annotation; however, it is a difficult task to retrieve those relevant articles without direct citation relationship. The related articles are those described in the given sequence (gene/protein), or its redundant sequences, or the close homologs in various species. They can be divided into two classes: direct references, which include those either cited by the sequence annotation or citing the sequence in its text; indirect references, those which contain gene symbols of the given sequence. A few additional issues make the task even more complicated: (1) symbols may have aliases; and (2) one sequence may have a couple of relatives that we want to take into account too, which include redundant (e.g. protein and gene sequences) and close homologs. Here the issues are addressed by the development of the software MedBlast, which can retrieve the related articles of the given sequence automatically. MedBlast uses BLAST to extend homology relationships, precompiled species-specific thesauruses, a useful semantics technique in natural language processing (NLP), to extend alias relationship, and EUtilities toolset to search and retrieve corresponding articles of each sequence from PubMed. MedBlast take a sequence in FASTA format as input. The program first uses BLAST to search the GenBank nucleic acid and protein non-redundant (nr) databases, to extend to those homologous and corresponding nucleic acid and protein sequences. Users can input the BLAST results directly, but it is recommended to input the result of both protein and nucleic acid nr databases. The hits with low e-values are chosen as the relatives because the low similarity hits often do not contain specific information. Very long sequences, e.g. 100k, which are usually genomic sequences, are discarded too, for they do not contain specific direct references. User can adjust these parameters to meet their own needs. | gene, article, biological, data, genome, genomic, homolog, literature, medline interfaces, mining, molecular, protein, sequence, specie | National Natural Science Foundation of China 39990600-03; Knowledge Innovation Program of the Chinese Academy of Sciences KSCX2-2-07; Knowledge Innovation Program of the Chinese Academy of Sciences KJCX1-08 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21253 | SCR_008202 | MedBlast | 2026-02-14 02:01:37 | 1 | ||||||||
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SOAPBarcode Resource Report Resource Website 100+ mentions |
SOAPBarcode (RRID:SCR_015776) | sequencing analysis software | Software for metabarcoding of DNA. SOAPBarcode takes advantage of high throughput capacity of next-generation-sequencing (NGS) platforms and can characterize the biodiversity of large volumes of eukaryote samples. | metabarcoding, metabarcode, bgi, soap, ngs, next generation sequencing, eukaryote | National High-tech Research and Development Project (863) of China 2012AA021601; Yunnan Province 20080A001; Chinese Academy of Sciences 0902281081; Chinese Academy of Sciences KSCX2-YW-Z-1027; National Natural Science Foundation of China 31170498; Ministry of Science and Technology of China 2012FY110800; University of East Anglia |
Free, Available for download | SCR_015776 | metabarcoding | 2026-02-14 02:02:52 | 193 | |||||||||
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Database of Arabidopsis Transcription Factors Resource Report Resource Website 10+ mentions |
Database of Arabidopsis Transcription Factors (RRID:SCR_007101) | DATF | data or information resource, database | Database that collects all arabidopsis transcription factors (totally 1922 Loci; 2290 Gene Models) and classifies them into 64 families. It uses not only locus (gene), but also gene model (transcript, protein) and the detail information is for each gene model not for locus. It adds multiple alignment of the DNA-binding domain of each family, Neighbor-Joining phylogenetic tree of each family, the GO annotation, homolog with the Database of Rice Transcription Factors (DRTF). It also keeps old information items such as the unique cloned and sequenced information of about 1200 transcription factors, protein domains, 3D structure information with BLAST hits against PDB, predicted Nuclear Location Signals, UniGene information, as well as links to literature reference. | gene, alignment, arabidopsis, binding, clone, dna, domain, locus, phylogenetic tree, transcription, chromosome, transcription factor, blast, family, bio.tools, FASEB list |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Peking University; Beijing; China |
State Key Laboratory of Protein and Plant Gene Research ; National Natural Science Foundation of China 31470330; China 863 Programs 2006AA02Z334; China Postdoctoral Science Foundation Grant 2014M560017 |
PMID:15731212 | Free | nif-0000-21112, OMICS_00551, biotools:datf | https://bio.tools/datf | SCR_007101 | 2026-02-14 02:06:35 | 36 | |||||
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HLAsupE Resource Report Resource Website 1+ mentions |
HLAsupE (RRID:SCR_016277) | data or information resource, database | Database of HLA supertype-specific epitopes. It describes major histocompatibility complex (MHC) molecules that bind short peptides derived from endogenous or exogenous antigens and present them onto the surface of antigen-presenting cells (APCs) for T-cell receptor (TCR) recognition. | hla, supertype, epitope, t cell, immunology, immune, mhc, antigen, histocompatibility | National Natural Science Foundation of China 91442203; National Natural Science Foundation of China 31470899; National Natural Science Foundation of China 31270788; National Science and Technology Major Project 2012ZX09103301014; 863 Project 2012AA02A407 |
PMID:27307005 | Freely available, Tutorial available | SCR_016277 | integrated database of HLA supertype specific epitopes | 2026-02-14 02:06:23 | 1 |
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