We are looking for highly motivated individuals interested in interacting with multi-disciplinary groups and contributing to the development of new tools, techniques and workflows, to support research efforts in model and non-model organisms. Individuals will be expected to perform routine and project specific data analysis including, but not limited to, de novo assembly, gene prediction and annotation, RNA-Seq, ChIP-Seq, metagenomics analyses, SNP prediction and identification, using various software packages.
Individuals will have opportunities to engage in multi-omics data integration and to participate in manuscript preparation for co-authorship
Applications will be accepted till the position is filled. Apply by sending a CV, cover letter and contact information for three references to [email protected]
For additional information or questions, please contact Jyothi Thimmapuram by email
[email protected]
See details here: https://www.purdue.edu/discoverypark....php?view=4099
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Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...-
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Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...-
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