In bioinformatics, k-mers are substrings of length contained within a biological sequence. Primarily used within the context of computational genomics and sequence analysis, in which k-mers are composed of nucleotides (i.e. A, T, G, and C), k-mers are capitalized upon to assemble DNA sequences, improve heterologous gene expression, identify species in metagenomic samples, and create attenuated vaccines. Usually, the term k-mer refers to all of a sequence's subsequences of length , such that the sequence AGAT would have four monomers (A, G, A, and T), three 2-mers (AG, GA, AT), two 3-mers (AGA and GAT) and one 4-mer (AGAT). More generally, a sequence of length will have k-mers and total possible k-mers, where is number of possible monomers (e.g. four in the case of DNA). (Wikipedia).
Introduction to the C programming language. Part of a larger series teaching programming. See http://codeschool.org
From playlist The C language
Introduction to the C programming language. Part of a larger series teaching programming. See http://codeschool.org
From playlist The C language
A review of the notes common to all formations of a G chord.
From playlist Music Lessons
All F chords are made from different permutations and combinations of the F,C and A notes
From playlist Music Lessons
From playlist Music.
MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: http://ocw.mit.edu/7-91JS14 Instructor: David Gifford Prof. Gifford talks about two different ways to assemble a genome de novo. The first approach is overlap layout consensus assemblers, as
From playlist MIT 7.91J Foundations of Computational and Systems Biology
Wei Wang: "Alignment-free RNASeq Analysis"
Computational Genomics Summer Institute 2016 "Alignment-free RNASeq Analysis" Wei Wang, UCLA Institute for Pure and Applied Mathematics, UCLA July 22, 2016 For more information: http://computationalgenomics.bioinformatics.ucla.edu/
From playlist Computational Genomics Summer Institute 2016
Genomic Analysis at Scale: Mapping Irregular Computations to Advanced Architectures
Abstract: Genomic data sets are growing dramatically as the cost of sequencing continues to decline and community databases are built to store and share this data with the research community. Some of data analysis problems require large scale parallel platforms to meet both the memory and
From playlist SIAG-ACDA Online Seminar Series
Intro to Assembly and Pipeline
Filmed during an in-person session of the Supercomputing for Everyone Series: De novo Assembly of Transcriptomes at Indiana University, 2018-2019. The complete workshop is free and open to the public compliments of the National Center for Genome Analysis Support (NCGAS). NCGAS is a manag
From playlist De novo Assembly of Transcriptomes
O'Reilly Webcast: Probabilistic Data Structures and Breaking Down Big Sequence Data
Presented by Dr. C. Titus Brown. Many data analysis problems are not easily parallelizable, often because the relevant analyses require an all-by-all analysis step. Applying heuristics often requires approximation, which introduces errors, noise, and bias. Recently, in confronting the sequ
From playlist Strata 2011
The Role of Chain Conformational Entropy on Self-Assembly of Surfactants,(Lecture 1) by Sanat Kumar
PROGRAM ENTROPY, INFORMATION AND ORDER IN SOFT MATTER ORGANIZERS: Bulbul Chakraborty, Pinaki Chaudhuri, Chandan Dasgupta, Marjolein Dijkstra, Smarajit Karmakar, Vijaykumar Krishnamurthy, Jorge Kurchan, Madan Rao, Srikanth Sastry and Francesco Sciortino DATE: 27 August 2018 to 02 Novemb
From playlist Entropy, Information and Order in Soft Matter
Outtakes #1: Crash Course Government and Politics
Today we look back on our first 10 episodes of Crash Course Government and Politics! But rest assured, no lines will be flubbed - or at least Craig seems to think so. Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Want to find
From playlist Bloopers & Outtakes
A New History for Humanity – The Human Era
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From playlist Human Stuff
[Pandas Tutorial] how to drop duplicates
This is 3 minutes demo, how to drop duplicates when you practice, you can refer to below jupyter notebook, https://github.com/minsuk-heo/pandas/blob/master/Pandas_Cheatsheet.ipynb
From playlist Pandas Tutorial
Quality Control: NCGAS Transcriptome Assembly, Annotation, and Analysis Workshop
From the National Center for Genome Analysis Support (NCGAS) workshop on high performance computing (HPC) usage and transcriptome assembly, annotation and analysis. Presented by Layla Freeborn, Bioinformatics Analysist, NCGAS. Filmed July 20, 2021. ABOUT THE WORKSHOP The workshop consist
From playlist NCGAS: Transcriptome Assembly, Annotation, and Analysis Workshop
Learning the Regulatory Code of the Accessible Genome - D. Kelley - 1/14/16
Full Title: Learning the Regulatory Code of the Accessible Genome with Deep Convolutional Neural Networks Bioinformatics Research Symposium Beckman Institute Auditorium Thursday, January 14, 2016
From playlist Bioinformatics Research Symposium