However, this excellent tool still requires the use of the command line and has limited visualization options. HOMER, for example, includes tools for calling peaks, identifying motifs and performing analysis of Hi-C data. Some popular packages such as HOMER or Tuxedo are organized into suites and include components capable of performing multiple tasks, thus solving the interoperability problem. However, the majority of currently available tools have a command-line interface, perform one specific task and typically require file conversions between them. Multiple standalone programs and web services are available for the analysis of NGS data. An optimal way to mitigate these problems is to enable biologists to perform at least basic tasks without the help of bioinformaticians by creation of user-friendly data analysis software. Even when bioinformaticians are available, differences in priorities within collaborations can result in delays and misunderstandings that are damaging to the research effort. This situation means that biologists require the help of bioinformaticians even for the simplest of tasks, such as viewing their own data on a genome browser, putting these exciting techniques beyond the reach of many laboratories. Even when processed data files (e.g., gene expression values) are available, direct comparison between datasets is ill-advised because different laboratories use different pipelines (or different software versions).
Re-utilizing published datasets is also challenging: although authors usually comply with the longstanding requirement to deposit raw data files into databases such as the Sequence Read Archive (SRA) or Gene Expression Omnibus (GEO), it is impossible to analyze these datasets without special expertise. On the “wet lab” side, these methods are largely well established and can be performed by experienced molecular biologists however, analysis of the sequenced data requires bioinformatics expertise that many molecular biologists do not possess. These methods include RNA sequencing (RNA-Seq), chromatin immunoprecipitation sequencing (ChIP-Seq), DNase I sequencing (DNase-Seq), micrococcal nuclease sequencing (MNase-Seq), assay for transposase-accessible chromatin sequencing (ATAC-Seq), and others. Took it and ran out.The recent proliferation of next-generation sequencing (NGS)-based methods for analysis of gene expression, chromatin structure and protein–DNA interactions has opened new horizons for molecular biology. He called be back and gave my I-20 and smiled saying take it. Thanked him and I was in cloud 9 and was running out. VO: C ongratulations sir, I am approving your visa. VO: C an I see your loan sanction letter? ME: My mother is a home maker and my father owns a stone crusher. ME: I have an education loan of 30 lacs and my parents are sponsoring me, They have a savings of 15 lacs. ME: Sir I only studied network security in my undergraduate. VO: W hat subjects did you study about C yber security in your undergrad? VO: W hat softwares are used in data science?
ME: Few basic techniques are simple data mining, software engineering (not correct but told randomly) VO: W hat techniques are used in D ata S cience? ME: Sir I want to do my master in data science with combination of Cyber security as it is my field of interest and my undergrad could only teach the basic techniques used in these fields.
ME: Lovely professional University, Punjab. VO: W here did you complete your Undergraduate? ME: Sir I learnt few courses which will be helpful in my masters and I wrote GRE and Ielts and applied to Universities simultaneously. My passport and I-20 were handed over to VO by volunteers.