Report
Share
Download to read offline
Recommended
The pollution
The document discusses different types of pollution including land, water, air, light, and thermal pollution. Land pollution is caused by improper waste disposal and agricultural practices. Water pollution contaminates water bodies and causes widespread illness, deaths, and ecosystem damage. Air pollution introduces harmful substances into the atmosphere. Light pollution causes unwanted artificial light at night that interferes with ecosystems and astronomy. Thermal pollution alters water temperatures from industrial processes like power plants.
The Eurogene Project
Eurogene is an e-learning system in the domain of genetics that provides free multimedia learning resources in nine languages for statistical, medical and molecular genetics and delivers them to students and professionals. The Eurogene content includes presentations, reviewed research articles, images, videos and learning packages submitted by world-leading geneticists.
An essential part of the Eurogene system is a multilingual search engine that allows to search for content in one language while retrieving the results in other languages. This is complemented by the use of a machine translation system fine-tuned for genetic terminology. The search engine uses a query language similar to PubMed.
Eurogene also aims at providing intelligent ways of navigation through the e-Learning system. As new learning resources are being continuously submitted to the system, it is not possible to maintain links between them manually. Eurogene automatically links resources that are semantically similar using natural language processing.
Construction of human gene map through map integration- from genetic map to p...
Construction of human gene map through map integration- from genetic map to p...Central University Of Kerala
Construction of human gene map through map integration- from genetic map to physical map to sequence mapIs a parametric or nonparametric method appropriate with relationship-oriente...
This document discusses when to use parametric vs non-parametric methods for analyzing relationships between variables. Parametric methods are appropriate when data is scaled, meaning points are equally spaced along the scale, and the distribution is normal. An example is provided of researchers examining the relationship between death anxiety and religiosity, where subjects completed scaled questionnaires and the data had a normal distribution. Therefore, a parametric method would be suitable for analysis.
Genome mapping
Genetic mapping involves constructing maps that show the positions of genes and other sequences on a genome. It uses genetic techniques like cross-breeding experiments or examining family histories. Markers like genes, RFLPs, SSLPs, and SNPs are used in mapping. Genetic mapping is based on genetic linkage and inheritance. By determining the recombination frequency between markers, which is proportional to their distance apart, a genetic map can be constructed showing the relative positions of genes on chromosomes.
Genome Mapping
Genetic mapping uses genetic techniques like cross-breeding experiments to construct maps showing gene positions. Physical mapping uses molecular techniques to examine DNA directly and construct maps showing sequence features. Different DNA markers like RFLPs, SSLPs, SNPs can be used for genetic mapping. Techniques for physical mapping include restriction mapping, fluorescent in situ hybridization (FISH), and sequence tagged site (STS) mapping. Integrating genetic and physical maps provides high resolution mapping needed for genome sequencing.
Statistical Clustering
This document discusses different approaches to multivariate data analysis and clustering, including nearest neighbor methods, hierarchical clustering, and k-means clustering. It provides examples of using Ward's method, average linkage, and k-means clustering on poverty data to identify potential clusters of countries based on variables like birth rate, death rate, and infant mortality rate. Key lessons are that different linkage methods, distance measures, and data normalizations should be tested and that higher-dimensional data may require different variable spaces or transformations to identify meaningful clusters.
DIstinguish between Parametric vs nonparametric test
This document summarizes parametric and nonparametric tests. Parametric tests make assumptions about the population based on known parameters, while nonparametric tests make no assumptions about the population. Some examples of parametric tests provided are t-test, F-test, z-test, and ANOVA, while examples of nonparametric tests include Mann-Whitney, rank sum test, and Kruskal-Wallis test. The key differences between parametric and nonparametric tests are that parametric tests are based on population parameters and distributions while nonparametric tests are not, and parametric tests can only be applied to variable data while nonparametric tests can be used for variable or attribute data.
Recommended
The pollution
The document discusses different types of pollution including land, water, air, light, and thermal pollution. Land pollution is caused by improper waste disposal and agricultural practices. Water pollution contaminates water bodies and causes widespread illness, deaths, and ecosystem damage. Air pollution introduces harmful substances into the atmosphere. Light pollution causes unwanted artificial light at night that interferes with ecosystems and astronomy. Thermal pollution alters water temperatures from industrial processes like power plants.
The Eurogene Project
Eurogene is an e-learning system in the domain of genetics that provides free multimedia learning resources in nine languages for statistical, medical and molecular genetics and delivers them to students and professionals. The Eurogene content includes presentations, reviewed research articles, images, videos and learning packages submitted by world-leading geneticists.
An essential part of the Eurogene system is a multilingual search engine that allows to search for content in one language while retrieving the results in other languages. This is complemented by the use of a machine translation system fine-tuned for genetic terminology. The search engine uses a query language similar to PubMed.
Eurogene also aims at providing intelligent ways of navigation through the e-Learning system. As new learning resources are being continuously submitted to the system, it is not possible to maintain links between them manually. Eurogene automatically links resources that are semantically similar using natural language processing.
Construction of human gene map through map integration- from genetic map to p...
Construction of human gene map through map integration- from genetic map to p...Central University Of Kerala
Construction of human gene map through map integration- from genetic map to physical map to sequence mapIs a parametric or nonparametric method appropriate with relationship-oriente...
This document discusses when to use parametric vs non-parametric methods for analyzing relationships between variables. Parametric methods are appropriate when data is scaled, meaning points are equally spaced along the scale, and the distribution is normal. An example is provided of researchers examining the relationship between death anxiety and religiosity, where subjects completed scaled questionnaires and the data had a normal distribution. Therefore, a parametric method would be suitable for analysis.
Genome mapping
Genetic mapping involves constructing maps that show the positions of genes and other sequences on a genome. It uses genetic techniques like cross-breeding experiments or examining family histories. Markers like genes, RFLPs, SSLPs, and SNPs are used in mapping. Genetic mapping is based on genetic linkage and inheritance. By determining the recombination frequency between markers, which is proportional to their distance apart, a genetic map can be constructed showing the relative positions of genes on chromosomes.
Genome Mapping
Genetic mapping uses genetic techniques like cross-breeding experiments to construct maps showing gene positions. Physical mapping uses molecular techniques to examine DNA directly and construct maps showing sequence features. Different DNA markers like RFLPs, SSLPs, SNPs can be used for genetic mapping. Techniques for physical mapping include restriction mapping, fluorescent in situ hybridization (FISH), and sequence tagged site (STS) mapping. Integrating genetic and physical maps provides high resolution mapping needed for genome sequencing.
Statistical Clustering
This document discusses different approaches to multivariate data analysis and clustering, including nearest neighbor methods, hierarchical clustering, and k-means clustering. It provides examples of using Ward's method, average linkage, and k-means clustering on poverty data to identify potential clusters of countries based on variables like birth rate, death rate, and infant mortality rate. Key lessons are that different linkage methods, distance measures, and data normalizations should be tested and that higher-dimensional data may require different variable spaces or transformations to identify meaningful clusters.
DIstinguish between Parametric vs nonparametric test
This document summarizes parametric and nonparametric tests. Parametric tests make assumptions about the population based on known parameters, while nonparametric tests make no assumptions about the population. Some examples of parametric tests provided are t-test, F-test, z-test, and ANOVA, while examples of nonparametric tests include Mann-Whitney, rank sum test, and Kruskal-Wallis test. The key differences between parametric and nonparametric tests are that parametric tests are based on population parameters and distributions while nonparametric tests are not, and parametric tests can only be applied to variable data while nonparametric tests can be used for variable or attribute data.
【森林総合研究所】平成１９年環境報告
1) This document provides an environmental report for 2007 from the Forestry and Forest Products Research Institute in Japan.
2) It discusses topics such as the institute's energy usage, CO2 emissions, water usage, waste generation and chemical substance emissions.
3) The report also describes environmental conservation activities at the institute including upgrading facilities for energy efficiency and reducing emissions and waste.
【森林総合研究所】平成１８年環境報告
1) The document provides statistics on environmental indicators such as CO2 emissions, water usage, and waste generation for an organization from 2001-2005. CO2 emissions decreased from 2001 to 2005 while water usage slightly increased.
2) It also lists the dates and topics of environmental training sessions provided to employees in 2005 on subjects like waste reduction and recycling.
3) Contact information is provided for the organization including an email address and website for more details on their environmental reporting.
【森林総合研究所】平成１７年環境報告
1) This document provides an overview of environmental reporting at the Forestry and Forest Products Research Institute in Japan for the year 2005. It includes statistics on energy and water usage, waste generation, and carbon dioxide emissions.
2) Key metrics reported include total electricity usage of 17,198 MWh, water consumption of 1,169,457 cubic meters, and carbon dioxide emissions of 6,815 tons for 2005.
3) The report also discusses compliance with the Pollutant Release and Transfer Register system and progress made in reducing environmental impact through conservation efforts and improved efficiency.
【森林総合研究所】平成２１年環境報告書
This document appears to be an environmental report from 2009, as indicated by the repeated header "Environmental Report 2009" on each page. However, as the document only shows page numbers and headers, the actual content and key information discussed in the report cannot be determined from the provided excerpt.
【森林総合研究所】平成２０年環境報告書
The document is an environmental report from 2008 that discusses the company's environmental initiatives and performance that year. It covers topics like reducing CO2 emissions, waste management, environmental accounting, and biodiversity conservation efforts. The report aims to disclose the company's environmental activities and impacts to stakeholders in a transparent manner.
More Related Content
More from env13
【森林総合研究所】平成１９年環境報告
1) This document provides an environmental report for 2007 from the Forestry and Forest Products Research Institute in Japan.
2) It discusses topics such as the institute's energy usage, CO2 emissions, water usage, waste generation and chemical substance emissions.
3) The report also describes environmental conservation activities at the institute including upgrading facilities for energy efficiency and reducing emissions and waste.
【森林総合研究所】平成１８年環境報告
1) The document provides statistics on environmental indicators such as CO2 emissions, water usage, and waste generation for an organization from 2001-2005. CO2 emissions decreased from 2001 to 2005 while water usage slightly increased.
2) It also lists the dates and topics of environmental training sessions provided to employees in 2005 on subjects like waste reduction and recycling.
3) Contact information is provided for the organization including an email address and website for more details on their environmental reporting.
【森林総合研究所】平成１７年環境報告
1) This document provides an overview of environmental reporting at the Forestry and Forest Products Research Institute in Japan for the year 2005. It includes statistics on energy and water usage, waste generation, and carbon dioxide emissions.
2) Key metrics reported include total electricity usage of 17,198 MWh, water consumption of 1,169,457 cubic meters, and carbon dioxide emissions of 6,815 tons for 2005.
3) The report also discusses compliance with the Pollutant Release and Transfer Register system and progress made in reducing environmental impact through conservation efforts and improved efficiency.
【森林総合研究所】平成２１年環境報告書
This document appears to be an environmental report from 2009, as indicated by the repeated header "Environmental Report 2009" on each page. However, as the document only shows page numbers and headers, the actual content and key information discussed in the report cannot be determined from the provided excerpt.
【森林総合研究所】平成２０年環境報告書
The document is an environmental report from 2008 that discusses the company's environmental initiatives and performance that year. It covers topics like reducing CO2 emissions, waste management, environmental accounting, and biodiversity conservation efforts. The report aims to disclose the company's environmental activities and impacts to stakeholders in a transparent manner.