MochiView: versatile software for genome browsing and DNA motif analysis

Background  

As high-throughput technologies rapidly generate genome-scale data, it becomes increasingly important to visually integrate these data so that specific hypotheses can be formulated and tested.     

Gene finding in novel genomes

Background  

Computational gene prediction continues to be an important problem, especially for genomes with little experimental data.     

Relative quantification of mRNA: comparison of methods currently used for real-time PCR data analysis

Background  

Fluorescent data obtained from real-time PCR must be processed by some method of data analysis to obtain the relative quantity of target mRNA. The method chosen for data analysis can strongly influence results of the quantification.     

TabSQL: a MySQL tool to facilitate mapping user data to public databases

Background  

With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public databases.     

Array-A-Lizer: A serial DNA microarray quality analyzer

Background  

The proliferate nature of DNA microarray results have made it necessary to implement a uniform and quick quality control of experimental results to ensure the consistency of data across multiple experiments prior to actual data analysis.     

Mistaken Identifiers: Gene name errors can be introduced inadvertently when using Excel in bioinformatics

Background  

When processing microarray data sets, we recently noticed that some gene names were being changed inadvertently to non-gene names.     

Genoviz Software Development Kit: Java tool kit for building genomics visualization applications

Background  

Visualization software can expose previously undiscovered patterns in genomic data and advance biological science.     

Clinical profile of parkinsonism and Parkinson's disease in Lagos, Southwestern Nigeria

Background  

Current data on the pattern of parkinsonism and Parkinson's disease in Nigerians are sparse.     

A comparative study of a theoretical neural net model with MEG data from epileptic patients and normal individuals

Objective  

The aim of this study was to compare a theoretical neural net model with MEG data from epileptic patients and normal individuals.     

On the persistence of supplementary resources in biomedical publications

Background  

Providing for long-term and consistent public access to scientific data is a growing concern in biomedical research. One aspect of this problem can be demonstrated by evaluating the persistence of supplementary data associated with published biomedical papers.     

iRefIndex: A consolidated protein interaction database with provenance

Background  

Interaction data for a given protein may be spread across multiple databases. We set out to create a unifying index that would facilitate searching for these data and that would group together redundant interaction data while recording the methods used to perform this grouping.     

Caryoscope: An Open Source Java application for viewing microarray data in a genomic context

Background  

Microarray-based comparative genome hybridization experiments generate data that can be mapped onto the genome. These data are interpreted more easily when represented graphically in a genomic context.     

Willows: a memory efficient tree and forest construction package

Background  

Existing tree and forest methods are powerful bioinformatics tools to explore high dimensional data including high throughput genomic data. However, they cannot deal with the data generated by recent genotyping platforms for single nucleotide polymorphisms due to the massive size of the data and its excessive memory demand.     

FORG3D: Force-directed 3D graph editor for visualization of integrated genome scale data

Background  

Genomics research produces vast amounts of experimental data that needs to be integrated in order to understand, model, and interpret the underlying biological phenomena. Interpreting these large and complex data sets is challenging and different visualization methods are needed to help produce knowledge from the data.     

Transcriptomic response to differentiation induction

Background  

Microarrays used for gene expression studies yield large amounts of data. The processing of such data typically leads to lists of differentially-regulated genes. A common terminal data analysis step is to map pathways of potentially interrelated genes.     

The Longhorn Array Database (LAD): An Open-Source,MIAME compliant implementation of the Stanford Microarray Database (SMD)

Background  

The power of microarray analysis can be realized only if data is systematically archived and linked to biological annotations as well as analysis algorithms.     

An integrated system for genetic analysis

Background  

Large-scale genetic mapping projects require data management systems that can handle complex phenotypes and detect and correct high-throughput genotyping errors, yet are easy to use.     

Preferred analysis methods for Affymetrix GeneChips revealed by a wholly defined control dataset

Background  

As more methods are developed to analyze RNA-profiling data, assessing their performance using control datasets becomes increasingly important.     

Whole genome association mapping by incompatibilities and local perfect phylogenies

Background  

With current technology, vast amounts of data can be cheaply and efficiently produced in association studies, and to prevent data analysis to become the bottleneck of studies, fast and efficient analysis methods that scale to such data set sizes must be developed.     

Polylepis woodland dynamics during the last 20,000 years

Aim

To determine the palaeoecological influences of climate change and human land use on the spatial distribution patterns of Polylepis woodlands in the Andes.

Location

Tropical Andes above 2,900 m between 2°S and 18°S of latitude.

Methods

Pollen and charcoal data were gathered from 13 Andean lake sediment records and were rescaled by the maximum value in each site. The rescaled pollen data were used to estimate a mean abundance and coefficient of variation to show woodland expansions/contractions and woodland fragmentation over the last 20,000 years. The rescaled charcoal was displayed as a 200‐year moving median using 500‐year bins to infer the influence of fire on woodland dynamics at landscape scale. Pollen and charcoal were compared with speleothem, clastic flux and archaeological data to assess the influence of moisture balance, glacial activity and human impact on the spatial distribution of Polylepis woodlands.

Results

Woodland expansion and fire were correlated with precipitation changes and glacier dynamics from c. 20 to 6 kcal bp (thousands of calibrated years before present). Charcoal abundances between 20 and 12 kcal bp were less common than from 12 kcal bp to modern. However, human‐induced fires were unlikely to be the main cause of a woodland decline centred at 11 kcal bp , as woodlands recovered from 10.5 to 9.5 kcal bp (about twofold increase). Charcoal peaks analogous to those that induced the woodland decline at 11 kcal bp were commonplace post‐9.5 kcal bp but did not trigger an equivalent woodland contraction. An increase in the coefficient of variation after c. 5.5 kcal bp suggests enhanced fragmentation and coincided with the shift from logistic to exponential growth of human populations. Over the last 1,000 years, Polylepis became hyper‐fragmented with over half of sites losing Polylepis from the record and with coefficients of variation paralleling those of glacial times.

Main conclusions

Polylepis woodlands formed naturally patchy woodlands, rather than a continuous vegetation belt, prior to human occupation in the Andes. The main factors controlling pre‐human woodland dynamics were precipitation and landscape heterogeneity. Human activity led to hyper‐fragmentation during the last c. 1,000 years.