FLAME: A Web Tool for Functional and Literature Enrichment Analysis of Multiple Gene Lists

SciMiner: Web-based literature mining tool for target identification and functional enrichment analysis SciMiner: Web-based literature mining tool for target identification and functional enrichment analysis

SciMiner: web-based literature mining tool for target identification and functional enrichment analysis

UNLABELLED SciMiner is a web-based literature mining and functional analysis tool that identifies genes and proteins using a context specific analysis of MEDLINE abstracts and full texts. SciMiner accepts a free text query (PubMed Entrez search) or a list of PubMed identifiers as input. SciMiner uses both regular expression patterns and dictionaries of gene symbols and names compiled from multi...

‏‎a phonological contrastive analysis of kurdish and english‎‏

deposite the different criticisms on contrastive analysis it has been proved that the results of it(when processed)can be usuful in a tefl environment,specially at the level of phonology.this study is an attempt to compare and contrast the sound systems of kurdish and english for pedagogical aims. the consonants,vowels,stress and intonation of the twolanguages are described by the same model-ta...

Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists

Functional analysis of large gene lists, derived in most cases from emerging high-throughput genomic, proteomic and bioinformatics scanning approaches, is still a challenging and daunting task. The gene-annotation enrichment analysis is a promising high-throughput strategy that increases the likelihood for investigators to identify biological processes most pertinent to their study. Approximate...

gCMAPWeb : a web interface for gene-set enrichment analysis

This document provides technical detail on the use of the gCMAPWeb package, including a short description of input and output data and the configuration of the web application. For expanded examples using real biological datasets available from public databases, please refer to the tutorial vignette instead.