Permutation decoding: Towards an approach using algebraic properties of the -subcode

International audienceIn this paper, we show a manner to use properties of the permutation group on some binary linear codes to improve the decoding algorithms. We search especially for articular permutations and we prove bounds on dimension of a special subcode of the idempotent sub-code. This -subcode can have very lower dimension in practice than the original code. We give several examples at the end and explain what can be the gain with this way of decoding

Semi-automatic semantic enrichment of raw sensor data

One of the more recent sources of large volumes of generated data is sensor devices, where dedicated sensing equipment is used to monitor events and happenings in a wide range of domains, including monitoring human biometrics. In recent trials to examine the effects that key moments in movies have on the human body, we fitted fitted with a number of biometric sensor devices and monitored them as they watched a range of dierent movies in groups. The purpose of these experiments was to examine the correlation between humans' highlights in movies as observed from biometric sensors, and highlights in the same movies as identified by our automatic movie analysis techniques. However,the problem with this type of experiment is that both the analysis of the video stream and the sensor data readings are not directly usable in their raw form because of the sheer volume of low-level data values generated both from the sensors and from the movie analysis. This work describes the semi-automated enrichment of both video analysis and sensor data and the mechanism used to query the data in both centralised environments, and in a peer-to-peer architecture when the number of sensor devices grows to large numbers. We present and validate a scalable means of semi-automating the semantic enrichment of sensor data, thereby providing a means of large-scale sensor management

Differential Network Analysis of Anti-sense Regulation

A challenging task in systems biology is to decipher cell regulation mechanisms. By comparing networks observed in two different situations, the differential network analysis approach enables to highlight interaction differences that reveal specific cellular responses. The aim of our work is to study the role of natural anti-sense transcription on cellular regulation mechanisms. Our proposal is to build and compare networks obtained from two different sets of actors: the “usual” sense actors on one hand and the sense and anti-sense actors on the other hand. Our study only considers the most significant interactions, called an Extended Core Network; therefore our differential analysis identifies important interactions that are impacted by anti-sense transcription. This paper first introduces our inference method of an Extended Core Network; this method is inspired by C3NET, but whereas C3NET only computes one interaction per gene, we propose to consider the most significant interactions for each gene. Secondly, we define the differential network analysis of two extended core networks inferred with and without anti-sense actors. On a local view, this analysis relies on change motifs that describe which genes have their most important interactions modified when the anti-sense transcripts are considered; they are called AS-impacted genes. Then from a more global view, we consider how the relationships between these AS-impacted genes are rewired in the network with anti-sense actors. Our analysis is performed by computing Steiner trees that represent minimal subnetworks connecting the AS-impacted genes. We show that the visualisation of these results help the biologists to identify interesting parts of the networks

Inference and Differential Analysis of Extended Core Networks: a way to study Anti-Sense Regulation

A key issue in bioinformatics is to decipher cell regulation mechanisms. By comparing networks observed in two different situations, differential network analysis enables to highlight differences that reveal specific cellular responses. The aim of our work is to study the role of natural anti-sense transcription on cellular regulation mechanisms. Our proposal is to build and compare networks obtained from two different sets of actors: the “usual” sense actors on one hand and the sense and anti-sense actors on the other hand. Our study only considers themost significant interactions, called an Extended Core Network; therefore our differential analysis identifies important interactions that are on the influence of anti-sense transcription. Our inference method of an Extended Core Network is inspired by C3NET, but whereas C3NET only computes one interaction per gene, we propose to consider the most significant interactions for each gene. We define the differential network analysis of two extended core networks inferred with and without anti-sense actors. This relies on change motifs that describe which gene-gene interactions of the extended core network are modified when we integrate anti-sense actors in the data. As our method ocuses on the most significant interactions, these motifs highlight the impact of anti-sense transcription. The networks motifs obtained by our workflow are then compared with assessed biological knowledge. The study reported in this paper is realized on transcriptional data from apple fruit in a context of fruit ripening; the change motifs revealed by our analysis are matched on a protein-protein interaction network and give a small set of interesting actors thatdeserve further biological investigation

Differential Functional Analysis and Change Motifs in Gene Networks to Explore the Role of Anti-sense Transcription

Several transcriptomic studies have shown the widespread existence of anti-sense transcription in cell. Anti-sense RNAs may be important actors in transcriptional control, especially in stress response processes. The aim of our work is to study gene networks, with the particularity to integrate in the process anti-sense transcripts. In this paper, we first present a method that highlights the importance of taking into account anti-sense data into functional enrichment analysis. Secondly, we propose the differential analysis of gene networks built with and without anti-sense actors in order to discover interesting change motifs that involve the anti-sense transcripts. For more reliability, our network comparison only studies the conservative causal part of a network, inferred by the C3NET method. Our work is realized on transcriptomic data from apple fruit

Cronobacter Sakazakii ISO 22964:2017 Testing of Milk Powders Using Commercially Available PCR

The detection of Cronobacter sakazakii in milk powder is important as a major health issue1 as it can survive for long periods in dry conditions2. Faster detection using PCR is possible and currently need to be compatible with traditionally standardised ISO methods. Viable cells are detected by PCR when dead cells and free DNA are diluted out, inhibited or destroyed. Biorad IQ–check DNA removal solution eliminates the detection of dead cells (based on endonuclease activity) or Biotecon Reagent D, (a light reactive aqueous reagent solution) is a dye designed to eliminate dead bacterial cell amplification, both avoid false-positive PCR results from dead cells. With ISO 20838: Real-Time PCR can be self-confirming and no further confirmation necessary with faster in house control and release of product quicker based on PCR results

La liberté religieuse au miroir de l’unité nationale égyptienne

Depuis 2004, des procès intentés par des Égyptiens musulmans d’origine chrétienne et reconvertis au christianisme interrogent la place de l’affiliation religieuse parmi les conditions de jouissance des droits de la citoyenneté égyptienne. La question juridique posée aux juges est celle de la légalité de la reconnaissance, par l’administration, de la conversion d’un musulman au christianisme, à travers la délivrance de papiers d’identité. Toutefois, l’enjeu des procès dépasse ce seul problème administratif. En effet, à travers la catégorisation et l’évaluation morale de la reconversion opérées par les différents participants au débat entourant ces procès, ce sont des représentations contradictoires de l’identité et de l’appartenance nationales qui s’affrontent.Since 2004, several lawsuits brought by Egyptian Muslims, Christians by birth and reconverted to Christianity, have raised questions about the status of religious affiliation amongst the conditions for the enjoyment of Egyptian citizenship rights. The juridical issue submitted to the judges concerns the legality of the recognition, by the administration, of a Muslim’s conversion to Christianity, through the issuing of identity papers. However, what is at stake in these lawsuits is more than just this administrative problem. Through the different categorizations and moral assessments of conversion made by the participants in the debate surrounding these lawsuits a clash between contradictory representations of national identity and belonging is also taking place