101 10 20655 https://www.socictopen.socict.org/files/original/6f3fff19e3c5743673df0edb33d001b9.pdf 62cdf18f89822fea6bf154299a13bcf0 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Middle East Respiratory Syndrome in 3 Persons, South Korea, 2015 Creator An entity primarily responsible for making the resource Jeong-Sun Yang, Sung-Han Park, You-Jin Kim, Hae Ji Kang, Hak Kim, Young Woo Han, Han Saem Lee, Daewon Kim, A Reum Kim, Deok Rim Heo, Joo Ae Kim, Su Jin Kim, Jeong-Gu Nam, Hee-Dong Jung, Hyang-Min Cheong, Kisoon Kim, Joo-Shil Lee, Sung Soon Kim Description An account of the resource In May 2015, Middle East respiratory syndrome coronavirus infection was laboratory confirmed in South Korea. Patients were a man who had visited the Middle East, his wife, and a man who shared a hospital room with the index patient. Rapid laboratory confirmation will facilitate subsequent prevention and control for imported cases. Date A point or period of time associated with an event in the lifecycle of the resource 2015 Subject The topic of the resource Middle East respiratory syndrome, MERS, MERS-CoV, South Korea, Viruses, Respiratory Infections Identifier An unambiguous reference to the resource within a given context DOI: 10.3201/eid2111.151016 Source A related resource from which the described resource is derived Emerging Infectious Diseases Publisher An entity responsible for making the resource available Centers for Disease Control and Prevention Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases, Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/8c14f64f58f7dd7e9b51226fe09519b5.pdf 9e15b884bf9e7f75f5401584b9e136e0 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Human Betacoronavirus 2c EMC/2012–related Viruses in Bats, Ghana and Europe Creator An entity primarily responsible for making the resource Augustina Annan, Heather J. Baldwin, Victor Max Corman, Stefan M. Klose, Michael Owusu, Evans Ewald Nkrumah, Ebenezer Kofi Badu, Priscilla Anti, Olivia Agbenyega, Benjamin Meyer, Samuel Oppong, Yaw Adu-Sarkodie, Elisabeth K. V. Kalko, Peter H C Lina, Elena V. Godlevska, Chantal Reusken, Antje Seebens, Florian Gloza-Rausch, Peter Vallo, Marco Tschapka, Christian Drosten, Jan Felix Drexler Description An account of the resource We screened fecal specimens of 4,758 bats from Ghana and 272 bats from 4 European countries for betacoronaviruses. Viruses related to the novel human betacoronavirus EMC/2012 were detected in 46 (24.9%) of 185 Nycteris bats and 40 (14.7%) of 272 Pipistrellus bats. Their genetic relatedness indicated EMC/2012 originated from bats. Date A point or period of time associated with an event in the lifecycle of the resource 2013 Subject The topic of the resource Africa, Europe, coronavirus, bats, human betacoronavirus, CoV-EMC Identifier An unambiguous reference to the resource within a given context DOI: 10.3201/eid1903.121503 Source A related resource from which the described resource is derived Emerging Infectious Diseases Publisher An entity responsible for making the resource available Centers for Disease Control and Prevention Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases, Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/c4e9fe1127ba4c98417bd1581a744154.pdf 3092db7ef86abd955c8d0bd81f1bd43a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An improved filtering algorithm for big read datasets and its application to single-cell assembly Creator An entity primarily responsible for making the resource Axel Wedemeyer, Lasse Kliemann, Anand Srivastav, Christian Schielke, Thorsten B. Reusch, Philip Rosenstiel Description An account of the resource Abstract Background For single-cell or metagenomic sequencing projects, it is necessary to sequence with a very high mean coverage in order to make sure that all parts of the sample DNA get covered by the reads produced. This leads to huge datasets with lots of redundant data. A filtering of this data prior to assembly is advisable. Brown et al. (2012) presented the algorithm Diginorm for this purpose, which filters reads based on the abundance of their k-mers. Methods We present Bignorm, a faster and quality-conscious read filtering algorithm. An important new algorithmic feature is the use of phred quality scores together with a detailed analysis of the k-mer counts to decide which reads to keep. Results We qualify and recommend parameters for our new read filtering algorithm. Guided by these parameters, we remove in terms of median 97.15% of the reads while keeping the mean phred score of the filtered dataset high. Using the SDAdes assembler, we produce assemblies of high quality from these filtered datasets in a fraction of the time needed for an assembly from the datasets filtered with Diginorm. Conclusions We conclude that read filtering is a practical and efficient method for reducing read data and for speeding up the assembly process. This applies not only for single cell assembly, as shown in this paper, but also to other projects with high mean coverage datasets like metagenomic sequencing projects. Our Bignorm algorithm allows assemblies of competitive quality in comparison to Diginorm, while being much faster. Bignorm is available for download at https://git.informatik.uni-kiel.de/axw/Bignorm . Date A point or period of time associated with an event in the lifecycle of the resource 2017 Subject The topic of the resource Read filtering, Read normalization, Bignorm, Diginorm, Singe cell sequencing, coverage Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12859-017-1724-7 Source A related resource from which the described resource is derived BMC Bioinformatics Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General), Computer applications to medicine. Medical informatics Language A language of the resource EN https://www.socictopen.socict.org/files/original/8f22b946b99c4e725956e7154c96a9e5.pdf 308454fbd535e77f2fb0ee4a301b41df Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource <it>Cryptosporidium parvum </it>and <it>Giardia intestinalis </it>in Calf Diarrhoea in Sweden Creator An entity primarily responsible for making the resource de Verdier K, Christensson B, Svensson C, Björkman C Description An account of the resource The objective of this study conducted in 75 herds was to investigate the presence and significance of Cryptosporidium parvum and Giardia intestinalis in Swedish dairy calves in comparison with rotavirus, coronavirus and Escherichia coli K99+. The farmers were asked to collect faecal samples from each heifer calf that had diarrhoea between birth and 90 days of age, and also from a healthy calf of the same age. In total, 270 samples were collected and analysed. C. parvum, either alone or together with G. intestinalis and/or rotavirus, was detected in 16 (11%) and 6 (5%) of the samples from diarrhoeic and healthy calves, respectively. Even though a higher proportion of diarrhoeic calves shed C. parvum, the difference between the groups was not statistically significant (p = 0.067), possibly due to the low number of positive samples. G. intestinalis was found in 42 (29%) of the diarrhoea samples and in 29 (23%) of the samples from healthy calves. Rotavirus and coronavirus were demonstrated in 24% and 3% of the diarrhoea samples, respectively, whereas E. coli K99+ was only found in samples from 2 healthy calves. C. parvum and G. intestinalis were found in samples from calves 7 to 84 days of age and during all seasons. The results confirm that C. parvum is present in Swedish dairy herds and might have clinical significance. G. intestinalis was the most common agent found but the importance of this parasite remains unclear. Both parasites have suggested zoonotic potential and thus warrant further attention. In addition, rotavirus is a major pathogen in neonatal enteritis in Sweden, whereas coronavirus and E. coli K99+ seem to be of less importance. Date A point or period of time associated with an event in the lifecycle of the resource 2003 Subject The topic of the resource Cryptosporidium parvum, Giardia intestinalis, rotavirus, coronavirus, Escherichia coli, calf diarrhoea Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1751-0147-44-145 Source A related resource from which the described resource is derived Acta Veterinaria Scandinavica Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Veterinary medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/b61ec534a78a10ccee7b320e616f38b9.pdf cc43dee0ae477a32229d2761d2a5c6e3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using patient-collected clinical samples and sera to detect and quantify the severe acute respiratory syndrome coronavirus (SARS-CoV) Creator An entity primarily responsible for making the resource Dong Qingming, Zhao Chunhui, ZHUANG Hui, He Zhongping, Peng Guoai, Dwyer Dominic E Description An account of the resource Abstract Background Severe acute respiratory syndrome (SARS) caused a large outbreak of pneumonia in Beijing, China, in 2003. Reverse transcriptase polymerase chain reaction (RT-PCR) was used to detect and quantify SARS-CoV in 934 sera and self-collected throat washes and fecal samples from 271 patients with laboratory-confirmed SARS managed at a single institution. Results SARS-CoV detection rates in sera were highest in the first 9 days of illness, whereas detection was highest in throat washes 5–14 days after onset of symptoms. The highest SARS-CoV RT-PCR rates (70.4–86.3%) and viral loads (log10 4.5–6.1) were seen in fecal samples collected 2–4 weeks after the onset of clinical illness. Fecal samples were frequently SARS-CoV RT-PCR positive beyond 40 days, and occasional sera still had SARS-CoV detected after 3 weeks of illness. Conclusion In the context of an extensive outbreak with major pressure on hospital resources, patient self-collected samples are an alternative to nasopharyngeal aspirates for laboratory confirmation of SARS-CoV infection. Date A point or period of time associated with an event in the lifecycle of the resource 2007 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1743-422X-4-32 Source A related resource from which the described resource is derived Virology Journal Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases Language A language of the resource EN https://www.socictopen.socict.org/files/original/d1b97de6adb684c515e94bdc9273d2c5.pdf 5c4d50b6738f5b504e0af109516a9e32 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The expression and antigenicity of a truncated spike-nucleocapsid fusion protein of severe acute respiratory syndrome-associated coronavirus Creator An entity primarily responsible for making the resource Qiu Yan, Huang Shengyong, Fan Baoxing, Han Weiguo, He Bo, Mu Jingsong, Niu Dongsheng, Mu Feng, YOU Bo, Chen Weijun Description An account of the resource Abstract Background In the absence of effective drugs, controlling SARS relies on the rapid identification of cases and appropriate management of the close contacts, or effective vaccines for SARS. Therefore, developing specific and sensitive laboratory tests for SARS as well as effective vaccines are necessary for national authorities. Results Genes encoding truncated nucleocapsid (N) and spike (S) proteins of SARSCoV were cloned into the expression vector pQE30 and fusionally expressed in Escherichia coli M15. The fusion protein was analyzed for reactivity with SARS patients' sera and with anti-sera against the two human coronaviruses HCoV 229E and HCoV OC43 by ELISA, IFA and immunoblot assays. Furthermore, to evaluate the antigen-specific humoral antibody and T-cell responses in mice, the fusion protein was injected into 6-week-old BALB/c mice and a neutralization test as well as a T-cell analysis was performed. To evaluate the antiviral efficacy of immunization, BALB/c mice were challenged intranasally with SARSCoV at day 33 post injection and viral loads were determined by fluorescent quantitative RT-PCR. Serological results showed that the diagnostic sensitivity and specificity of the truncated S-N fusion protein derived the SARS virus were > 99% (457/460) and 100.00% (650/650), respectively. Furthermore there was no cross-reactivity with other two human coronaviruses. High titers of antibodies to SRASCoV appeared in the immunized mice and the neutralization test showed that antibodies to the fusion protein could inhibit SARSCoV. The T cell proliferation showed that the fusion protein could induce an antigen-specific T-cell response. Fluorescent quantitative RT-PCR showed that BALB/c mice challenged intranasally with SARSCoV at day 33 post injection were completely protected from virus replication. Conclusion The truncated S-N fusion protein is a suitable immunodiagnostic antigen and vaccine candidate. Date A point or period of time associated with an event in the lifecycle of the resource 2008 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1471-2180-8-207 Source A related resource from which the described resource is derived BMC Microbiology Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology Language A language of the resource EN https://www.socictopen.socict.org/files/original/4dba8325e71fb2b4d8fb06b1a6f70cf1.pdf fa981c8b7872580e530a1a797a824d10 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Hypomethylated domain-enriched DNA motifs prepattern the accessible nucleosome organization in teleosts Creator An entity primarily responsible for making the resource Ryohei Nakamura, Ayako Uno, Masahiko Kumagai, Shinichi Morishita, Hiroyuki Takeda Description An account of the resource Abstract Background Gene promoters in vertebrate genomes show distinct chromatin features such as stably positioned nucleosome array and DNA hypomethylation. The nucleosomes are known to have certain sequence preferences, and the prediction of nucleosome positioning from DNA sequence has been successful in some organisms such as yeast. However, at gene promoters where nucleosomes are much more stably positioned than in other regions, the sequence-based model has failed to work well, and sequence-independent mechanisms have been proposed. Results Using DNase I-seq in medaka embryos, we demonstrated that hypomethylated domains (HMDs) specifically possess accessible nucleosome organization with longer linkers, and we reassessed the DNA sequence preference for nucleosome positioning in these specific regions. Remarkably, we found with a supervised machine learning algorithm, k-mer SVM, that nucleosome positioning in HMDs is accurately predictable from DNA sequence alone. Specific short sequences (6-mers) that contribute to the prediction are specifically enriched in HMDs and distribute periodically with approximately 200-bp intervals which prepattern the position of accessible linkers. Surprisingly, the sequence preference of the nucleosome and linker in HMDs is opposite from that reported previously. Furthermore, the periodicity of specific motifs at hypomethylated promoters was conserved in zebrafish. Conclusion This study reveals strong link between nucleosome positioning and DNA sequence at vertebrate promoters, and we propose hypomethylated DNA-specific regulation of nucleosome positioning. Date A point or period of time associated with an event in the lifecycle of the resource 2017 Subject The topic of the resource nucleosome positioning, DNA methylation, DNA sequence, vertebrate Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s13072-017-0152-2 Source A related resource from which the described resource is derived Epigenetics & Chromatin Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Genetics Language A language of the resource EN https://www.socictopen.socict.org/files/original/b531ec7cc0a5620958b1a3fbe6fbc763.pdf 8f079fa19710b964544df6e9825b9e43 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A simple and rapid identification method for newly emerged porcine Deltacoronavirus with loop-mediated isothermal amplification Creator An entity primarily responsible for making the resource Fanfan Zhang, Yu Ye, Deping Song, Nan-Nan Guo, Qi Peng, Anqi Li, Xingrong Zhou, Yanjun Chen, Min Zhang, Dong-Yan Huang, Yu-Xin Tang Description An account of the resource Abstract Background Porcine Deltacoronavirus (PDCoV) is a newly emerged enteropathogenic coronavirus that causes diarrhea and mortality in neonatal piglets. PDCoV has spread to many countries around the world, leading to significant economic losses in the pork industry. Therefore, a rapid and sensitive method for detection of PDCoV in clinical samples is urgently needed. Results In this study, we developed a single-tube one-step reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay specific for nucleocapsid gene to diagnose and monitor PDCoV infections. The detection limit of RT-LAMP assay was 1 × 101 copies of PDCoV, which was approximately 100-fold more sensitive than gel-based one-step reverse transcription polymerase chain reaction (RT-PCR). This assay could specifically amplify PDCoV and had no cross amplification with porcine epidemic diarrhea virus (PEDV), transmissible gastroenteritis virus (TGEV), porcine kobuvirus (PKoV), porcine astrovirus (PAstV), porcine reproductive and respiratory syndrome virus (PRRSV), classic swine fever virus (CSFV), and porcine circovirus type 2 (PCV2). By screening a panel of clinical specimens (N = 192), this method presented a similar sensitivity with nested RT-PCR and was 1–2 log more sensitive than conventional RT-PCR in detection of PDCoV. Conclusions The RT-LAMP assay established in this study is a potentially valuable tool, especially in low-resource laboratories and filed settings, for a rapid diagnosis, surveillance, and molecular epidemiology investigation of PDCoV infections. To the best of our knowledge, this is the first work for detection of newly emerged PDCoV with LAMP technology. Date A point or period of time associated with an event in the lifecycle of the resource 2017 Subject The topic of the resource Porcine Deltacoronavirus (PDCoV), RT-LAMP, rapid diagnosis Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s40659-017-0135-6 Source A related resource from which the described resource is derived Biological Research Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General) Language A language of the resource EN https://www.socictopen.socict.org/files/original/94b07b9e26c04aac42042a3cfb267744.pdf 0a1aa6842e3f1920816fc28eb4b11729 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AIDS epidemic at age 25 and control efforts in China Creator An entity primarily responsible for making the resource Shao Yiming Description An account of the resource Abstract In the first 10 years of AIDS epidemic in China, intravenous drug users (IDUs) and Former Plasma Donors (FPDs) were hardly hit in the late 1980s and mid 1990s respectively. In the last 10 years, while IDU epidemic keeps at a fast pace, sexual transmitted cases of HIV have been steadily increasing. All signs indicate that the HIV epidemic in China is at a turning point, spreading from high risk groups to the general population. Learning from the SARS epidemic, China has recently launched an impressive AIDS campaign by making serious political commitments, and by strengthening the public health system and implementing an aggressive Four Free One Care Policy. There remains huge challenges both at the societal level which form the roots of the AIDS epidemic and at increasing the capabilities of the implementation teams. In addition to other needed efforts, enhancing AIDS research through international collaborations will strengthen China's ability to conduct her huge control program efficiently. Only with a scientific approach and evidence-based strategy, can China seize the opportunity to stop AIDS at an early stage. Date A point or period of time associated with an event in the lifecycle of the resource 2006 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1742-4690-3-87 Source A related resource from which the described resource is derived Retrovirology Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Immunologic diseases. Allergy Language A language of the resource EN https://www.socictopen.socict.org/files/original/cee870393449273ef67d0b4d6c54274c.pdf 001853d99415da160bdbd39f53abd393 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VIGOR, an annotation program for small viral genomes Creator An entity primarily responsible for making the resource Wang Shiliang, Sundaram Jaideep P, Spiro David Description An account of the resource Abstract Background The decrease in cost for sequencing and improvement in technologies has made it easier and more common for the re-sequencing of large genomes as well as parallel sequencing of small genomes. It is possible to completely sequence a small genome within days and this increases the number of publicly available genomes. Among the types of genomes being rapidly sequenced are those of microbial and viral genomes responsible for infectious diseases. However, accurate gene prediction is a challenge that persists for decoding a newly sequenced genome. Therefore, accurate and efficient gene prediction programs are highly desired for rapid and cost effective surveillance of RNA viruses through full genome sequencing. Results We have developed VIGOR (Viral Genome ORF Reader), a web application tool for gene prediction in influenza virus, rotavirus, rhinovirus and coronavirus subtypes. VIGOR detects protein coding regions based on sequence similarity searches and can accurately detect genome specific features such as frame shifts, overlapping genes, embedded genes, and can predict mature peptides within the context of a single polypeptide open reading frame. Genotyping capability for influenza and rotavirus is built into the program. We compared VIGOR to previously described gene prediction programs, ZCURVE_V, GeneMarkS and FLAN. The specificity and sensitivity of VIGOR are greater than 99% for the RNA viral genomes tested. Conclusions VIGOR is a user friendly web-based genome annotation program for five different viral agents, influenza, rotavirus, rhinovirus, coronavirus and SARS coronavirus. This is the first gene prediction program for rotavirus and rhinovirus for public access. VIGOR is able to accurately predict protein coding genes for the above five viral types and has the capability to assign function to the predicted open reading frames and genotype influenza virus. The prediction software was designed for performing high throughput annotation and closure validation in a post-sequencing production pipeline. Date A point or period of time associated with an event in the lifecycle of the resource 2010 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1471-2105-11-451 Source A related resource from which the described resource is derived BMC Bioinformatics Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General), Computer applications to medicine. Medical informatics Language A language of the resource EN