This document discusses short tandem repeats (STRs) and their impact on gene expression. It begins by introducing STR genotyping tools like lobSTR and HipSTR, which can detect STR variations in whole genome sequencing data. HipSTR additionally determines STR sequences instead of just lengths. The document then analyzes STR variations from the 1000 Genomes Project, finding over 100,000 STR differences between individuals. Finally, it presents a genome-wide study finding over 2,000 expression STRs (eSTRs) that significantly impact gene expression levels in 384 samples. Most eSTRs were found to replicate between orthogonal expression datasets.
Jigsaw Academy conducted a case study contest for its students in collaboration with Pexitics Analytics. These are the submissions by different student groups
Jigsaw Academy Cafe Great Contest - Winning PresentationsJigsaw Academy
Jigsaw Academy tied up with a data science leader in launching a project for our students through the Great Cafe Contest. The students got a chance to work on industry dataset and a real life project. The final presentation is the answer to the business problem highlighting the analytical skills of the winners.
The overall objective of the project was to demonstrate the use of analytical tools for drawing insights from the available dataset. The learning objective was to demonstrate the use of tools like SAS/R to extract, manipulate, analyze and visualize data.
Jigsaw Academy Digital India Contest - Kerala & Tamil NaduJigsaw Academy
The document analyzes digital penetration in rural areas of Tamil Nadu and Kerala states in India. Some key findings include:
- Digitalization is more widespread and consistent in Kerala, with an average penetration of 11.2% versus 4.4% in Tamil Nadu.
- Landline phone penetration is a stronger predictor of digital access in Kerala, while mobile phones correlate more in Tamil Nadu.
- Literacy, household amenities, and proximity to services predict higher digitalization, while agricultural dependence predicts lower rates.
- Recommendations include improving living standards, expanding telecom infrastructure, transforming more public call offices to internet cafes, and increasing e-governance services to encourage digital uptake.
Jigsaw Academy Digital India Contest - Andhra Pradesh & KarnatakaJigsaw Academy
This document summarizes the analysis of factors affecting digital inclusion in villages in Karnataka based on census and other data. Key findings include:
- Computer access is around 5.5% on average while internet access is only 0.71% on average across villages.
- Mobile penetration is highest at around 56% on average. Landline penetration is around 11.7% on average.
- Literacy rates and distance to educational and health institutions show moderate correlations with digital inclusion parameters.
- Availability of postal, banking, and other village facilities also show moderate correlations.
- Infrastructure factors like availability of power, mobile coverage, and internet centers are significantly correlated with higher digital access.
Jigsaw Academy Digital India Contest - Uttarakhand & Himachal PradeshJigsaw Academy
The document analyzes census data from 2011 to understand digital inclusion in rural areas of Himachal Pradesh and Uttarakhand. It finds that internet usage is much lower in rural areas of both states, around 1-2% of households, compared to urban areas. Mobile phone ownership is more widespread at around 70-80% of rural households. Key factors affecting lower rural internet usage include lack of infrastructure, education levels, economic conditions, and distance from urban areas. The document identifies specific villages in each state that have no connectivity access to target for improving digital inclusion.
The document discusses "The Jigsaw Team". It does not provide any other details about the team, its purpose, members, or work. In just two short words, the document title provides a name but no further context or information about "The Jigsaw Team".
This document discusses short tandem repeats (STRs) and their impact on gene expression. It begins by introducing STR genotyping tools like lobSTR and HipSTR, which can detect STR variations in whole genome sequencing data. HipSTR additionally determines STR sequences instead of just lengths. The document then analyzes STR variations from the 1000 Genomes Project, finding over 100,000 STR differences between individuals. Finally, it presents a genome-wide study finding over 2,000 expression STRs (eSTRs) that significantly impact gene expression levels in 384 samples. Most eSTRs were found to replicate between orthogonal expression datasets.
Jigsaw Academy conducted a case study contest for its students in collaboration with Pexitics Analytics. These are the submissions by different student groups
Jigsaw Academy Cafe Great Contest - Winning PresentationsJigsaw Academy
Jigsaw Academy tied up with a data science leader in launching a project for our students through the Great Cafe Contest. The students got a chance to work on industry dataset and a real life project. The final presentation is the answer to the business problem highlighting the analytical skills of the winners.
The overall objective of the project was to demonstrate the use of analytical tools for drawing insights from the available dataset. The learning objective was to demonstrate the use of tools like SAS/R to extract, manipulate, analyze and visualize data.
Jigsaw Academy Digital India Contest - Kerala & Tamil NaduJigsaw Academy
The document analyzes digital penetration in rural areas of Tamil Nadu and Kerala states in India. Some key findings include:
- Digitalization is more widespread and consistent in Kerala, with an average penetration of 11.2% versus 4.4% in Tamil Nadu.
- Landline phone penetration is a stronger predictor of digital access in Kerala, while mobile phones correlate more in Tamil Nadu.
- Literacy, household amenities, and proximity to services predict higher digitalization, while agricultural dependence predicts lower rates.
- Recommendations include improving living standards, expanding telecom infrastructure, transforming more public call offices to internet cafes, and increasing e-governance services to encourage digital uptake.
Jigsaw Academy Digital India Contest - Andhra Pradesh & KarnatakaJigsaw Academy
This document summarizes the analysis of factors affecting digital inclusion in villages in Karnataka based on census and other data. Key findings include:
- Computer access is around 5.5% on average while internet access is only 0.71% on average across villages.
- Mobile penetration is highest at around 56% on average. Landline penetration is around 11.7% on average.
- Literacy rates and distance to educational and health institutions show moderate correlations with digital inclusion parameters.
- Availability of postal, banking, and other village facilities also show moderate correlations.
- Infrastructure factors like availability of power, mobile coverage, and internet centers are significantly correlated with higher digital access.
Jigsaw Academy Digital India Contest - Uttarakhand & Himachal PradeshJigsaw Academy
The document analyzes census data from 2011 to understand digital inclusion in rural areas of Himachal Pradesh and Uttarakhand. It finds that internet usage is much lower in rural areas of both states, around 1-2% of households, compared to urban areas. Mobile phone ownership is more widespread at around 70-80% of rural households. Key factors affecting lower rural internet usage include lack of infrastructure, education levels, economic conditions, and distance from urban areas. The document identifies specific villages in each state that have no connectivity access to target for improving digital inclusion.
The document discusses "The Jigsaw Team". It does not provide any other details about the team, its purpose, members, or work. In just two short words, the document title provides a name but no further context or information about "The Jigsaw Team".
A brief introduction to Web Analytics
For a course in Web Analytics - See more at: http://www.jigsawacademy.com/web-analytics-training#sthash.LsGc9ZIT.dpuf.
This course is for professionals interested in assessing online business performances and students interested in e-commerce marketing & sales careers.
Snapshot of winning submissions- Jigsaw Academy ValueLabs Sentiment Analysis ...Jigsaw Academy
Rajesh Peruri analyzed a dataset containing client feedback comments and recommended scores (RECOM) to predict RECOM using sentiment analysis of the comments. The analysis included: determining sentiment scores of comments using association matrices and clustering; and building a linear regression model relating RECOM to other variables and sentiment. Rajanikar performed sentiment analysis of comments by assigning sentiment scores to words based on a dictionary and identifying sentiment polarity. Priyadarshini used a sentiment algorithm to assign integer sentiment scores to comments and analyzed the distribution and relationship of sentiment scores and average ratings scores.
Jigsaw Mortgage Dex Data Analysis Competition Winner Presentation - Shyam An...Jigsaw Academy
The document discusses recommendations for real estate investment based on an analysis of different locations. Clustering techniques were used to segment locations into six clusters based on return on investment and rental income. Predictive models were developed to identify the best clusters for investors based on their investment amount, location preferences, and other factors. Various visualizations including heat maps, box plots, and scatter plots were created in Tableau to analyze cluster characteristics and returns across different states.
Jigsaw Mortgage Dex Data Analysis Competition Winner Presentation - Parinds...Jigsaw Academy
The document describes a project that uses unsupervised machine learning to analyze property data and recommend properties for investment. Key steps include:
1. Preprocessing data and selecting key performance indicators of rent yield, income-to-rent ratio, and population.
2. Using k-means clustering to group properties into 7 clusters based on the selected indicators.
3. Analyzing the clusters to profile them and rank their investment potential from 1 to 5, with 1 being the most attractive, based on characteristics like population size and potential for rent increases.
Jigsaw Mortgage Dex Data Analysis Competition Winner Presentation - Balaji A...Jigsaw Academy
The document analyzes real estate data using k-means clustering to identify optimal areas for investment. It recommends Cluster 3, which has the highest rental yield at 9% and lowest rental share at 23%, indicating potential for rental increases. Specific areas highlighted for investment include counties in Michigan, cities and counties in Texas, and counties in Ohio, Illinois, and Missouri.
Advanced certication in financial analytics e-brochureJigsaw Academy
This course provides an understanding of how analytics is applied in the financial services industry to solve business problems like credit scoring, fraud detection, and campaign management using SAS. The course covers topics such as banking, credit cards, loans, insurance, credit risk analytics, and fraud risk analytics. Students will build regression models and use statistical techniques on real data sets to solve business problems. Upon completing the course, students will understand financial services domains and have hands-on experience applying analytical skills.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
A brief introduction to Web Analytics
For a course in Web Analytics - See more at: http://www.jigsawacademy.com/web-analytics-training#sthash.LsGc9ZIT.dpuf.
This course is for professionals interested in assessing online business performances and students interested in e-commerce marketing & sales careers.
Snapshot of winning submissions- Jigsaw Academy ValueLabs Sentiment Analysis ...Jigsaw Academy
Rajesh Peruri analyzed a dataset containing client feedback comments and recommended scores (RECOM) to predict RECOM using sentiment analysis of the comments. The analysis included: determining sentiment scores of comments using association matrices and clustering; and building a linear regression model relating RECOM to other variables and sentiment. Rajanikar performed sentiment analysis of comments by assigning sentiment scores to words based on a dictionary and identifying sentiment polarity. Priyadarshini used a sentiment algorithm to assign integer sentiment scores to comments and analyzed the distribution and relationship of sentiment scores and average ratings scores.
Jigsaw Mortgage Dex Data Analysis Competition Winner Presentation - Shyam An...Jigsaw Academy
The document discusses recommendations for real estate investment based on an analysis of different locations. Clustering techniques were used to segment locations into six clusters based on return on investment and rental income. Predictive models were developed to identify the best clusters for investors based on their investment amount, location preferences, and other factors. Various visualizations including heat maps, box plots, and scatter plots were created in Tableau to analyze cluster characteristics and returns across different states.
Jigsaw Mortgage Dex Data Analysis Competition Winner Presentation - Parinds...Jigsaw Academy
The document describes a project that uses unsupervised machine learning to analyze property data and recommend properties for investment. Key steps include:
1. Preprocessing data and selecting key performance indicators of rent yield, income-to-rent ratio, and population.
2. Using k-means clustering to group properties into 7 clusters based on the selected indicators.
3. Analyzing the clusters to profile them and rank their investment potential from 1 to 5, with 1 being the most attractive, based on characteristics like population size and potential for rent increases.
Jigsaw Mortgage Dex Data Analysis Competition Winner Presentation - Balaji A...Jigsaw Academy
The document analyzes real estate data using k-means clustering to identify optimal areas for investment. It recommends Cluster 3, which has the highest rental yield at 9% and lowest rental share at 23%, indicating potential for rental increases. Specific areas highlighted for investment include counties in Michigan, cities and counties in Texas, and counties in Ohio, Illinois, and Missouri.
Advanced certication in financial analytics e-brochureJigsaw Academy
This course provides an understanding of how analytics is applied in the financial services industry to solve business problems like credit scoring, fraud detection, and campaign management using SAS. The course covers topics such as banking, credit cards, loans, insurance, credit risk analytics, and fraud risk analytics. Students will build regression models and use statistical techniques on real data sets to solve business problems. Upon completing the course, students will understand financial services domains and have hands-on experience applying analytical skills.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
