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    Coursera - Genomic Data Science Specialization (2016)

    Posted By: ParRus
    Coursera - Genomic Data Science Specialization (2016)

    Coursera - Genomic Data Science Specialization (2016)
    WEBRip | English | MP4 + PDF Guides + work files | 960 x 540 | AVC ~63.6 kbps | 29.970 fps
    AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | ~32 hours | 3.79 GB
    Genre: eLearning Video / Medicine, Biology and Genetics, Science

    This specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, Python, R, Bioconductor, and Galaxy. The sequence is a stand alone introduction to genomic data science or a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics.
    Price: $392
    More Info: homepage


    also You can watch my other last: Coursera-posts

    General
    Complete name : 02_Important_Molecules_in_Molecular_Biology_7-57.mp4
    Format : MPEG-4
    Format profile : Base Media
    Codec ID : isom (isom/iso2/avc1/mp41)
    File size : 11.4 MiB
    Duration : 7mn 57s
    Overall bit rate : 200 Kbps
    Movie name : Important Molecules in Molecular Biology
    Album/Performer : Roger Peng
    Description : This video is about Important Molecules in Molecular Biology
    Writing application : Lavf55.19.104

    Video
    ID : 1
    Format : AVC
    Format/Info : Advanced Video Codec
    Format profile : Main@L3.1
    Format settings, CABAC : Yes
    Format settings, ReFrames : 4 frames
    Codec ID : avc1
    Codec ID/Info : Advanced Video Coding
    Duration : 7mn 57s
    Bit rate : 63.6 Kbps
    Width : 960 pixels
    Height : 540 pixels
    Display aspect ratio : 16:9
    Frame rate mode : Constant
    Frame rate : 29.970 (29970/1000) fps
    Color space : YUV
    Chroma subsampling : 4:2:0
    Bit depth : 8 bits
    Scan type : Progressive
    Bits/(Pixel*Frame) : 0.004
    Stream size : 3.62 MiB (32%)
    Writing library : x264 core 138
    Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x1:0x111 / me=hex / subme=7 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=12 / lookahead_threads=2 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=250 / keyint_min=25 / scenecut=40 / intra_refresh=0 / rc_lookahead=40 / rc=crf / mbtree=1 / crf=28.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / ip_ratio=1.40 / aq=1:1.00

    Audio
    ID : 2
    Format : AAC
    Format/Info : Advanced Audio Codec
    Format profile : LC
    Codec ID : 40
    Duration : 7mn 57s
    Duration_LastFrame : -9ms
    Bit rate mode : Constant
    Bit rate : 128 Kbps
    Channel(s) : 2 channels
    Channel positions : Front: L R
    Sampling rate : 44.1 KHz
    Frame rate : 43.066 fps (1024 spf)
    Compression mode : Lossy
    Stream size : 7.29 MiB (64%)
    Language : English
    Default : Yes
    Alternate group : 1

    Screenshots

    Coursera - Genomic Data Science Specialization (2016)

    Coursera - Genomic Data Science Specialization (2016)

    Coursera - Genomic Data Science Specialization (2016)

    Coursera - Genomic Data Science Specialization (2016)

    Coursera - Genomic Data Science Specialization (2016)

    Coursera - Genomic Data Science Specialization (2016)

    Coursera - Genomic Data Science Specialization (2016)

    Coursera - Genomic Data Science Specialization (2016)

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    Coursera - Genomic Data Science Specialization (2016)