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New Resources for 1000 Genomes
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35 responses
105,506 views
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by Guest
12-05-2013, 02:37 AM
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Closed, Sticky:
Software packages for next gen sequence analysis
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236 responses
673,551 views
1 like
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by ECO
12-25-2009, 06:45 PM
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1 response
4,300 views
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by westerman
12-05-2013, 12:47 PM
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1,894 views
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by jwfoley
12-05-2013, 12:21 PM
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2 responses
3,743 views
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by m_two
12-05-2013, 09:36 AM
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1,875 views
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by DerIch
12-05-2013, 07:28 AM
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0 responses
1,153 views
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by tujchl
12-05-2013, 06:17 AM
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3 responses
2,609 views
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by kmcarr
12-05-2013, 05:22 AM
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7 responses
10,747 views
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by Guest
12-05-2013, 04:39 AM
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2 responses
2,355 views
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by lindenb
12-05-2013, 03:53 AM
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3 responses
2,062 views
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by evanharrell
12-05-2013, 03:28 AM
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3 responses
2,781 views
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by dpryan
12-05-2013, 03:23 AM
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No topics found.
widgetinstance 229 (Webinars) skipped due to lack of content & hide_module_if_empty option.
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The complexity of cancer is clearly demonstrated in the diverse ecosystem of the tumor microenvironment (TME). The TME is made up of numerous cell types and its development begins with the changes that happen during oncogenesis. “Genomic mutations, copy number changes, epigenetic alterations, and alternative gene expression occur to varying degrees within the affected tumor cells,” explained Andrea O’Hara, Ph.D., Strategic Technical Specialist at Azenta. “As...07-08-2024, 03:19 PM -
In 2003, researchers from the Human Genome Project (HGP) announced the most comprehensive genome to date1. Although the genome wasn’t fully completed until nearly 20 years later2, numerous large-scale projects, such as the International HapMap Project and 1000 Genomes Project, continued the HGP's work, capturing extensive variation and genomic diversity within humans. Recently, newer initiatives have significantly increased in scale and expanded beyond genomics, offering a more detailed...06-25-2024, 06:43 AM -
While isolating and preparing single cells for sequencing was historically the bottleneck, recent technological advancements have shifted the challenge to data analysis. This highlights the rapidly evolving nature of single-cell sequencing. The inherent complexity of single-cell analysis has intensified with the surge in data volume and the incorporation of diverse and more complex datasets. This article explores the challenges in analysis, examines common pitfalls, offers...06-06-2024, 07:15 AM