EMBnet.journalPub Date : 2017-10-10DOI: 10.14806/EJ.23.0.892
Pavandeep Gill, J. Luider, E. Mahé
{"title":"PolarFCS: A Multi-Parametric Data Visualisation Aid for Flow Cytometry Assessment","authors":"Pavandeep Gill, J. Luider, E. Mahé","doi":"10.14806/EJ.23.0.892","DOIUrl":"https://doi.org/10.14806/EJ.23.0.892","url":null,"abstract":"Currently available Flow-Cytometry Software (FCS) analysis platforms are computationally efficient and user-friendly, but may lack the functionality of single-plot, multi-parametric data visualisation. Methods to overcome this include gating techniques and/or dimensionality reduction. However, these strategies make Flow-Cytometry (FC) data analysis more time- and labour-intensive; profound errors can also result from incorrect FCS use. We have developed PolarFCS, a software tool capable of single-plot, multi-parametric data visualisation. Unlike traditional clinical FC plots, which typically operate directly on a data-set to produce single-parameter FC histograms or two-parameter orthogonal scatter plots, PolarFCS operates on the flow-parameter calculated centre of mass of each event in the data-set, and presents these as a dot-plot. We compare PolarFCS to our traditional clinical FCS workflow, using a selection of clinical plasma cell FC data. Multiple flow plots and gating strategies are required in the traditional software to isolate neoplastic populations. In PolarFCS, however, positional re-arrangement and scaling of the poles can be used to quickly isolate a population of interest. We also compare both approaches in a case of Minimal Residual Disease (MRD) assessment, and again, the versatility of the polar adjustment and parameter scaling allowable with PolarFCS is demonstrated. PolarFCS employs strategies that allow more accurate, standardised and detailed FC data analysis compared to traditional FCS platforms. Visualisation of multiple parameters in a single plot is an effective and invaluable feature that many other platforms currently do not offer. Availability: PolarFCS can be downloaded at https://github.com/etiennemahe/PolarFCS","PeriodicalId":72893,"journal":{"name":"EMBnet.journal","volume":"58 1","pages":"892"},"PeriodicalIF":0.0,"publicationDate":"2017-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91368174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EMBnet.journalPub Date : 2017-05-17DOI: 10.14806/EJ.23.0.886
N. Mulder, S. Aron, Sumir Panji, Kim T. Gurwitz, Judit Kumuthini, S. Baichoo, S. Fatumo, O. Nash, Jonathan, Kayondo, Faisal M. Fadlelmola, S. Kassim, O. O. M. Oukem-Boyer, S. P. Salifu, Lerato E. Magosi, Victoria Nembaware, Mary Piper, Radhika S. Khetani, Anne Fischer
{"title":"H3ABioNet: Developing Sustainable Bioinformatics Capacity in Africa","authors":"N. Mulder, S. Aron, Sumir Panji, Kim T. Gurwitz, Judit Kumuthini, S. Baichoo, S. Fatumo, O. Nash, Jonathan, Kayondo, Faisal M. Fadlelmola, S. Kassim, O. O. M. Oukem-Boyer, S. P. Salifu, Lerato E. Magosi, Victoria Nembaware, Mary Piper, Radhika S. Khetani, Anne Fischer","doi":"10.14806/EJ.23.0.886","DOIUrl":"https://doi.org/10.14806/EJ.23.0.886","url":null,"abstract":"The diverse, rapidly developing discipline of bioinformatics has become an integral component of all areas of biomedical research in recent years. The ability to manage, analyse and interpret large complex datasets hinges on having access to skilled researchers who have received adequate training in specialised technical areas. Currently in Africa, individuals with these specialised skills are sparsely scattered across the continent and there is an urgent need to develop sustainable training programs to improve bioinformatics capacity. As part of the Human Heredity and Health in Africa (H3Africa) initiative, a pan-African bioinformatics network for H3Africa (H3ABioNet) was established to develop bioinformatics infrastructure together with a sustainable high quality training program. Here, we discuss the various training events and approaches developed by H3ABioNet to address the lack of bioinformatics capacity in Africa, together with the valuable lessons learnt.","PeriodicalId":72893,"journal":{"name":"EMBnet.journal","volume":"91 1","pages":"886"},"PeriodicalIF":0.0,"publicationDate":"2017-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82378749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EMBnet.journalPub Date : 2017-05-12DOI: 10.14806/EJ.23.0.891
S. Manzoor, A. Niazi, E. Bongcam-Rudloff
{"title":"A stepping stone to develop bioinformatics in Pakistan","authors":"S. Manzoor, A. Niazi, E. Bongcam-Rudloff","doi":"10.14806/EJ.23.0.891","DOIUrl":"https://doi.org/10.14806/EJ.23.0.891","url":null,"abstract":"This article briefly describes how bioinformatics research has been promoted in Pakistan, and its importance for the country’s development. Pivotal to this effort was the completion of a joint educational project between Pakistan’s Higher Education Commission (HEC) and the Swedish University of Agricultural Sciences (SLU).","PeriodicalId":72893,"journal":{"name":"EMBnet.journal","volume":"23 1","pages":"891"},"PeriodicalIF":0.0,"publicationDate":"2017-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75826704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EMBnet.journalPub Date : 2017-04-28DOI: 10.14806/EJ.23.0.883
Nicolás Palopoli, A. M. Monzon, G. Parisi, A. Chernomoretz, Fernán Agüero
{"title":"A report on the “International Society for Computational Biology - Latin America (ISCB-LA)” Bioinformatics Conference 2016","authors":"Nicolás Palopoli, A. M. Monzon, G. Parisi, A. Chernomoretz, Fernán Agüero","doi":"10.14806/EJ.23.0.883","DOIUrl":"https://doi.org/10.14806/EJ.23.0.883","url":null,"abstract":"The fourth edition of the “International Society for Computational Biology - Latin America (ISCB-LA)” Bioinformatics Conference, jointly organised with the Argentine Association for Bioinformatics and Computational Biology (A 2 B 2 C), was held in Buenos Aires, Argentina, on November 2016. The ISCB-LA 2016 conference aimed at showcasing the latest findings in the field from researchers at all career levels in the region and beyond, and promoting collaborations to further develop Bioinformatics and Computational Biology in Latin America. Here we present a brief report on the main activities held during the Conference and their successful outcomes.","PeriodicalId":72893,"journal":{"name":"EMBnet.journal","volume":"69 1","pages":"883"},"PeriodicalIF":0.0,"publicationDate":"2017-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83602404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EMBnet.journalPub Date : 2017-04-28DOI: 10.14806/EJ.23.0.884
P. Romano
{"title":"Bioinformatics activities at the University Hospital San Martino IST in Genoa","authors":"P. Romano","doi":"10.14806/EJ.23.0.884","DOIUrl":"https://doi.org/10.14806/EJ.23.0.884","url":null,"abstract":"This report summarises some of the bioinformatics activities that have been carried out since 1986 at the National Cancer Research Institute of Genoa, now University Hospital IRCCS San Martino IST. Two main interrelated research lines are highlighted: data management for biological resources, and automation of data retrieval and analysis. As developments in Information and Communication Technologies (ICTs) are fundamental to bioinformatics, the NETTAB workshops, which are devoted to the analysis of the impact of new ICTs on bioinformatics research, are also presented.","PeriodicalId":72893,"journal":{"name":"EMBnet.journal","volume":"70 1","pages":"884"},"PeriodicalIF":0.0,"publicationDate":"2017-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84940309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EMBnet.journalPub Date : 2017-04-18DOI: 10.14806/EJ.22.0.887
D. D’Elia, E. B. Hernández, L. Klucar, E. Bongcam-Rudloff
{"title":"2016 EMBnet Annual General Meeting – Executive Board Report","authors":"D. D’Elia, E. B. Hernández, L. Klucar, E. Bongcam-Rudloff","doi":"10.14806/EJ.22.0.887","DOIUrl":"https://doi.org/10.14806/EJ.22.0.887","url":null,"abstract":"During the past year, the EMBnet Executive Board (EB) had regular monthly meetings either via Skype or using Adobe Connect. These meetings were always carried out with the Interim Board (IB) composed by Teresa K. Attwood and Etienne de Villiers. The IB was indeed established during the Annual General Meeting 2015 to support the new EB to move its first steps forward the AGM 2016. The EB regularly invited also Special Interest Groups (SIGs) Chairs to participate at EB-IB meetings. Additional monthly meetings open to the full EMBnet constituency were also convened. In this report, we provide a brief overview of facts, activities and results of this last year that span from June 2015 to October 2016.","PeriodicalId":72893,"journal":{"name":"EMBnet.journal","volume":"19 1","pages":"887"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90577904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EMBnet.journalPub Date : 2017-03-09DOI: 10.14806/EJ.22.0.881
Antonio Santovito
{"title":"ENJ Editorial Assistant Activity Report","authors":"Antonio Santovito","doi":"10.14806/EJ.22.0.881","DOIUrl":"https://doi.org/10.14806/EJ.22.0.881","url":null,"abstract":"“Bioinformatics without borders”. Those three words guided all my work during the first year of collaboration with EMBnet and EMBnet.journal (ENJ) . How to help the journal reach a larger audience? How to improve EMBnet’s communication and Public Relations (PR) activities? These have been the questions I’ve tried to answer, managing the tasks assigned to me and proposing new initiatives and useful tools. The first part of my work as Editorial Assistant (EA) was based on three key concepts: restyling, restoring and relaunching. During the first months, I created some multimedia support for incoming events, and tackled content recovery of ENJ, owing to a severe hack to the journal server.","PeriodicalId":72893,"journal":{"name":"EMBnet.journal","volume":"249 1","pages":"881"},"PeriodicalIF":0.0,"publicationDate":"2017-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86220374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EMBnet.journalPub Date : 2017-02-06DOI: 10.14806/EJ.22.0.879
K. Mattila, Diego Scardaci, M. Antonacci, C. Condurache
{"title":"Set up your own bioinformatics server: Chipster in EGI Federated Cloud","authors":"K. Mattila, Diego Scardaci, M. Antonacci, C. Condurache","doi":"10.14806/EJ.22.0.879","DOIUrl":"https://doi.org/10.14806/EJ.22.0.879","url":null,"abstract":"Chipster is an easy to use data analysis platform for bioinformatics. It provides an uniform graphical interface for over 360 commonly used bioinformatics tools including several R/Bioconductor-based tools and standalone programs (i.e. BWA, TopHat). Chipster is based on a client-server system where the user runs locally a Chipster-client that submits analysis tasks to a Chipster server. Even though Chipster is an open source tool, there is no public Chipster server that would be open for everybody. Due to that, a researcher needs to have an access to some of the existing Chipster servers to be able to use this platform. Alternatively, a researcher can set up his own Chipster server. In this paper, we describe how a Chipster server can be launched EGI Federated Could environment, that provides resources for all European researchers. With the instructions provided here, any European researcher can launch and manage his own Chipster server, suited for needs of a small research group or a bioinformatics course. The setup described here is based on a collaboration of several European instances. Chipster is developed by CSC – IT Center for Science Ltd. in Finland. European Grid Infrastructure (EGI) has fitted Chipster to cloud environment and provides the cloud computing resources. Finally, Rutherford Appleton Laboratory hosts the CVMFS server that provides the scientific tools and data sets for the Chipster servers running in EGI federated cloud.","PeriodicalId":72893,"journal":{"name":"EMBnet.journal","volume":"57 1","pages":"879"},"PeriodicalIF":0.0,"publicationDate":"2017-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91064726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EMBnet.journalPub Date : 2016-12-05DOI: 10.14806/EJ.22.0.871
K. Theofilatos, Christos M. Dimitrakopoulos, Christos E. Alexakos, A. Korfiati, S. Likothanassis, S. Mavroudi
{"title":"InSyBio BioNets: an efficient tool for network-based biomarker discovery","authors":"K. Theofilatos, Christos M. Dimitrakopoulos, Christos E. Alexakos, A. Korfiati, S. Likothanassis, S. Mavroudi","doi":"10.14806/EJ.22.0.871","DOIUrl":"https://doi.org/10.14806/EJ.22.0.871","url":null,"abstract":"Biological networks have been widely used in systems biology in order to model the complex interactions of molecular players such as proteins, genes, mRNAs, non-coding RNAs and others. However, most of the current methods for biomarker discovery do not use biological networks, but just deploy simple statistical methods to identify differentially expressed genes and gene products. In the present paper, we present InSyBio BioNets, which is a cloud-based web platform offering a unique biomarker discovery pipeline, which combines differential expression analysis and a method for comparing biological networks to identify biomarkers efficiently. As a case study, InSyBio BioNets was applied to a Parkinson dataset of gene expression measurements and outperformed a standard statistical approach by recovering a more compact and informative set of biomarkers.","PeriodicalId":72893,"journal":{"name":"EMBnet.journal","volume":"178 1","pages":"871"},"PeriodicalIF":0.0,"publicationDate":"2016-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85039898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}