scholarly journals Exon array data analysis using Affymetrix power tools and R statistical software

2011 ◽  
Vol 12 (6) ◽  
pp. 634-644 ◽  
Author(s):  
H. E. Lockstone
Keyword(s):  
Data Analysis ◽  
Exon Array ◽  
Statistical Software ◽  
Array Data ◽  
Exon Array Data ◽  
Power Tools

scholarly journals ExonMiner: Web service for analysis of GeneChip Exon array data

2008 ◽  
Vol 9 (1) ◽  
pp. 494 ◽  
Author(s):  
Kazuyuki Numata ◽  
Ryo Yoshida ◽  
Masao Nagasaki ◽  
Ayumu Saito ◽  
Seiya Imoto ◽  
...  
Keyword(s):  
Web Service ◽  
Exon Array ◽  
Array Data ◽  
Exon Array Data

scholarly journals easyExon – A Java-based GUI tool for processing and visualization of Affymetrix exon array data

2008 ◽  
Vol 9 (1) ◽  
pp. 432 ◽  
Author(s):  
Ting-Yu Chang ◽  
Yin-Yi Li ◽  
Chih-Hung Jen ◽  
Tsun-Po Yang ◽  
Chi-Hung Lin ◽  
...  
Keyword(s):  
Exon Array ◽  
Array Data ◽  
Affymetrix Exon Array ◽  
Exon Array Data

scholarly journals An annotation infrastructure for the analysis and interpretation of Affymetrix exon array data

2007 ◽  
Vol 8 (5) ◽  
pp. R79 ◽  
Author(s):  
Michał J Okoniewski ◽  
Tim Yates ◽  
Siân Dibben ◽  
Crispin J Miller
Keyword(s):  
Exon Array ◽  
Array Data ◽  
Affymetrix Exon Array ◽  
Exon Array Data

scholarly journals FIRMA: a method for detection of alternative splicing from exon array data

2008 ◽  
Vol 24 (15) ◽  
pp. 1707-1714 ◽  
Author(s):  
E. Purdom ◽  
K. M. Simpson ◽  
M. D. Robinson ◽  
J. G. Conboy ◽  
A. V. Lapuk ◽  
...  
Keyword(s):  
Alternative Splicing ◽  
Exon Array ◽  
Array Data ◽  
Exon Array Data

scholarly journals REMAS: a new regression model to identify alternative splicing events from exon array data

2009 ◽  
Vol 10 (Suppl 1) ◽  
pp. S18 ◽  
Author(s):  
Hao Zheng ◽  
Xingyi Hang ◽  
Ji Zhu ◽  
Minping Qian ◽  
Wubin Qu ◽  
...  
Keyword(s):  
Alternative Splicing ◽  
Regression Model ◽  
Exon Array ◽  
Array Data ◽  
Exon Array Data ◽  
Alternative Splicing Events

scholarly journals Comprehensive exon array data processing method for quantitative analysis of alternative spliced variants

2011 ◽  
Vol 39 (18) ◽  
pp. e123-e123 ◽  
Author(s):  
Ping Chen ◽  
Tatiana Lepikhova ◽  
Yizhou Hu ◽  
Outi Monni ◽  
Sampsa Hautaniemi
Keyword(s):  
Quantitative Analysis ◽  
Data Processing ◽  
Exon Array ◽  
Processing Method ◽  
Array Data ◽  
Data Processing Method ◽  
Exon Array Data

scholarly journals BEAT: Bioinformatics Exon Array Tool to store, analyze and visualize Affymetrix GeneChip Human Exon Array data from disease experiments

2012 ◽  
Vol 13 (Suppl 4) ◽  
pp. S21 ◽  
Author(s):  
Arianna Consiglio ◽  
Massimo Carella ◽  
Giorgio De Caro ◽  
Gianfranco Delle Foglie ◽  
Candida Giovannelli ◽  
...  
Keyword(s):  
Exon Array ◽  
Affymetrix Genechip ◽  
Array Data ◽  
Human Exon ◽  
Exon Array Data ◽  
Affymetrix Genechip Human

INFLUENCE OF TRUCK TRAFFIC ON ACOUSTIC POLLUTION IN KAUNAS DISTRICTS CROSSED BY HIGHWAYS/KROVININIO AUTOTRANSPORTO ĮTAKA AKUSTINEI TARŠAI RESPUBLIKINĖS REIKŠMĖS MAGISTRALIŲ KERTAMUOSE KAUNO MIKRORAJONUOSE/ ВЛИЯНИЕ ГРУЗОВОГО АВТОТРАНСПОРТА НА АКУСТИЧЕСКОЕ ЗАГРЯЗНЕНИЕ В МИКРОРАЙОНАX ГОРОДА KАУНАСА С ТРАССАМИ ГОСУДАРСТВЕННОГО ЗНАЧЕНИЯ

2009 ◽  
Vol 17 (4) ◽  
pp. 198-204 ◽  
Author(s):  
Regina Gražulevičienė ◽  
Inga Bendokienė
Keyword(s):  
Data Analysis ◽  
Traffic Flow ◽  
Noise Level ◽  
Traffic Noise ◽  
Heavy Vehicles ◽  
Truck Traffic ◽  
Statistical Software ◽  
Study Results ◽  
Noise Measurements ◽  
Main Streets

The aim of the study was to assess the influence of truck traffic on acoustic pollution in two Kaunas districts crossed by highways‐ Eiguliai and Šilainiai. Composition of traffic flow and noise measurements were conducted near the main streets and national highways that cross the districts. GIS and statistical software SPSS 12.01 were used for the data analysis. The study results showed that mean noise level near the main streets was 70 dB(A) in the daytime,‐ 68.6 dB(A) in the evening and at night it was 61.1 dB(A) in Eiguliai, and in Šilainiai it was 67 dB(A), 65 dB(A) and 58 dB(A), correspondingly. On the highways, crossing the districts, heavy vehicles compose about 3 times higher part of total traffic flow during the day and about 2 times in the evening compared to other main streets. The noise level depended on the traffic flow and correlation coefficient fluctuated from 0.77 to 0.85. The modelling of traffic flow showed, that the increase of trucks proportion by 2 percent would increase the traffic noise by 1.1 dB(A) in the streets with traffic flow of 300 veh./hour or more, and by 1.8 dB(A) with traffic flow of 200 veh./hour or less. Our findings suggest that the influence of heavy vehicles on acoustic pollution is higher in the districts with lower traffic flow. Santrauka Tyrimo tikslas – nustatyti krovininio autotransporto įtaką akustinei taršai Kauno mikrorajonuose, kuriuos kerta respublikinės reikšmės magistralės – Islandijos plentas ir vakarinis lankstas. Aplinkos triukšmo lygis ir transporto srautų intensyvumas Eigulių ir Šilainių seniūnijoje buvo matuotas 34 taškuose – dieną, vakare ir naktį. Duomenims apdoroti taikyta geografinių informacinių (GIS) sistemų technologijos, SPSS 12.0.1 ir Statistica 15 statistinės analizės paketai. Tyrimų rezultatai: vidutinis ekvivalentinis triukšmo lygis Eigulių seniūnijoje dieną prie pagrindinių gatvių siekė 70 dBA, vakare – 68,6 dBA, o naktį – 61,1 dBA ir iš esmės nesiskyrė nuo Šilainių seniūnijos, atitinkamai 67 dBA, 65 dBA ir 58 dBA. Magistraliniuose keliuose, kertančiuose Eigulių ir Šilainių seniūnijas, vidutinis transporto srautų intensyvumas dieną ir vakare buvo 5 kartus, naktį 6 kartus didesnis nei vidutinis srautų intensyvumas pagrindinėse gatvėse tuo pačiu metu, o krovininio autotransporto dalis dieną 3 kartus, o vakare 2 kartus viršijo vidutinius pagrindinių gatvių srautus. Nustatyta sąsaja tarp transporto srautų intensyvumo ir triukšmo lygio: Eigulių seniūnijos dienos koreliacijos koeficientas buvo 0,85, vakaro ir nakties – 0,83, o Šilainių seniūnijos – atitinkamai 0,78, 0,77 ir 0,80. Transporto srautų sudėties modeliavimo duomenimis, padidėjus krovininio transporto proporcijai 2 %, gatvėse, kuriose transporto srautas didesnis nei 300 aut./val., triukšmo lygis padidėtų 1,1 dBA, o kur transporto srautas mažesnis nei 200 aut./val., triukšmo lygis padidėtų 1,8 dBA (koreliacijos koeficientas – 0,63). Krovininio transporto įtaka akustinei taršai didesnė mikrorajonuose, kuriuose transporto srautai nedideli. Резюме Целью данной работы было изучить влияние грузового автотранспорта на акустическое загрязнение в микрорайонах города Каунаса, которые пересекают трассы государственного значения. Это шоссе Исландиос и объезд Вакаринис. Состав транспортного потока определялся и уровень шума измерялся около главных улиц микрорайонов. Результаты исследования показали, что средний уровень шума днем был 70 dBA, вечером – 68,6 dBA, ночью – 61,1 dBA. На трассах государственного значения, пересекающих микрорайоны, по сравнению с другими улицами потоки грузовых автомобилей были в 3 раза больше днем и 2 раза больше вечером. Установлена зaвисимость между величиной транспортного потока и шума (r = 0,77–0,85). Моделирование состава транспортного потока показало, что при увеличении на улицах грузового транспорта на 2% с 300 авт./час и больше шум увеличивается на 1,1 dBA, а при количестве грузового транспорта, составляющем 200 авт./час и меньше, шум возрастает на 1,8 dBA. Влияние грузового автотранспорта на акустическое загрязнение больше в микрорайонах с небольшим транспортным потоком.

scholarly journals Hemi- and Homonyms in the Big Data Era

Diversity ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 472
Author(s):  
Jorge Rubén Sánchez-González
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Biological Monitoring ◽  
Data Science ◽  
General Rule ◽  
Big Data Analysis ◽  
Species List ◽  
Statistical Software ◽  
Independence Principle ◽  
Near Future

The issue of hemi- and homonyms is an unsolved topic in the Big Data era, where informatics and technicians, rather than biologists or taxonomists, analyze huge datasets. Nowadays, taxonomic nomenclature is ruled by four independent international codes, and according to them, the existence of hemihomonyms and homonyms is accepted under some conditions as an exception to the general rule. This situation entails confusion, disagreements, and a plethora of problems whose consequences could worsen in the near future within the framework of the big data era. Moreover, the increasing use of big databases and analyses, data science, bioinformatics, biological monitoring, and bioassessment has shown such exceptions to be inconvenient, since these exceptions to homonyms are considered as duplicates by databases and statistical software, which are handled by non-taxonomist experts. International Codes of Nomenclature must change within the new context of big data analysis. This work aims to propose the elimination of any exception to the presence of homonyms and to evaluate whether the Independence Principle makes sense within this new context. Increasing coordination between several independent nomenclatural systems is essential and, perhaps, we must conduct our efforts towards a universal species list, finishing with the historical schism between Codes.

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